Imaging control device and method, and vehicle

ABSTRACT

The present technology relates to an imaging control device and method, and a vehicle that enable improvement of distance measurement accuracy. A distance of an observation point in a detection range is detected by a detection unit. The detected distance of the observation point is corrected by a correction unit on the basis of overlap of observation points in a plurality of detection ranges corresponding to a plurality of the detection units. For example, overlap between the observation point detected in the detection range on a side surface of the vehicle and the observation point detected in the detection range in front of the vehicle is detected, and the detected distance is corrected on the basis of the detected overlap of the observation points. The present technology can be applied to driving assistance of a vehicle.

TECHNICAL FIELD

The present technology relates to an imaging control device and method,and a vehicle, and in particular to an imaging control device andmethod, and a vehicle that improve distance measurement accuracy.

BACKGROUND ART

There are cases where a camera is attached to a vehicle such as anautomobile or an object, and a picture by the camera is visuallymonitored or processed by a computer to automatically monitor the video.This is to prevent damage such as accidents and to perform automaticdriving by grasping circumstances around the vehicle. However, sinceonly part of the periphery of the vehicle can be captured with onecamera, attaching a plurality of cameras and monitoring the entireperiphery of the vehicle has been proposed (for example, Patent Document1).

Furthermore, a technology for calibrating a stereo camera system bysuperposing monitoring areas of a plurality of stereo cameras has alsobeen proposed (Patent Document 2).

CITATION LIST Patent Document

-   Patent Document 1: Japanese Patent Application Laid-Open No.    2007-195061-   Patent Document 2: Japanese Patent Application Laid-Open No.    2014-215039

SUMMARY OF THE INVENTION Problems to be Solved by the Invention

In the proposal of Patent Document 1, the cameras are mounted in fourdirections of the vehicle to monitor the entire periphery, and in anarea where views of the respective cameras overlap, the distance ismeasured using the principle of stereo camera. However, according to theproposal of Patent Document 1, the distance cannot be measured in anarea where no views overlap.

In the proposal of Patent Document 2, the measurement accuracy of thestereo camera system is maintained by calibration. However, the distancemeasurement accuracy itself cannot be improved.

The present technology has been made in view of such a situation, andenables improvement of the distance measurement accuracy.

Solutions to Problems

One aspect of the present technology is an imaging control deviceincluding a detection unit configured to detect a distance of anobservation point in a detection range, and a correction unit configuredto correct the detected distance of the observation point on the basisof overlap of the observation points in a plurality of the detectionranges corresponding to a plurality of the detection units.

The correction unit can detect overlap of error ranges of the detecteddistances of the observation points as the overlap of the observationpoints.

The distance can be detected on the basis of an image captured by atleast a set of cameras configuring a stereo camera system.

The plurality of detection units can be a plurality of the stereo camerasystems directed in different directions from one another.

The correction unit can perform the correction on the basis of theoverlap of the observation points in the two detection ranges out offour directions around a vehicle.

The correction unit can correct the detected distance of the observationpoint on the basis of overlap near the vehicle or overlap close to theobservation point in a case where a plurality of the overlaps of errorranges is detected.

At least a set of the cameras can be arranged in a vertical directionand to have at least one optical axis directed obliquely downward.

At least a set of the cameras configuring the stereo camera system canbe further included.

The observation point can be a point obtained by measuring a targetobject around a vehicle.

A recognition processing unit configured to recognize the target objecton the basis of an image imaged by at least one camera mounted on avehicle can be further included.

Another detection unit including at least one of an ultrasonic sensor,an infrared sensor, a millimeter wave sensor, or a radar can be furtherincluded, and the correction unit can perform the correction using adetection result of the another detection unit as well.

One aspect of the present technology is an imaging control methodincluding a detecting step of detecting a distance of an observationpoint in a detection range, and a correcting step of correcting thedetected distance of the observation point on the basis of overlap ofthe observation points in a plurality of the detection ranges.

One aspect of the present technology is a vehicle including a cameraconfiguring a stereo camera system that captures a detection range fordetecting a distance to an observation point, a detection unitconfigured to detect the distance of the observation point in thedetection range, and a correction unit configured to correct thedetected distance of the observation point on the basis of overlap ofthe observation points in a plurality of the detection rangescorresponding to a plurality of the detection units.

In one aspect of the present technology, a distance of an observationpoint in a detection range is detected by a detection unit, and thedetected distance of the observation point is corrected by a correctionunit on the basis of overlap of the observation points in a plurality ofthe detection ranges corresponding to a plurality of the detectionunits.

Effects of the Invention

As described above, according to one aspect of the present technology,the distance measurement accuracy can be improved.

Note that the effects described in the present specification are merelyexamples and are not limited, and additional effects may be exhibited.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a diagram illustrating a configuration of an imaging controlsystem according to a first embodiment of the present technology.

FIG. 2 is a diagram illustrating a coordinate system of a stereo camerasystem according to the first embodiment of the present technology.

FIG. 3 is a diagram for describing a range in which distance measurementaccuracy is low according to the first embodiment of the presenttechnology.

FIG. 4 is a block diagram illustrating a configuration of the imagingcontrol system according to the first embodiment of the presenttechnology.

FIG. 5 is a block diagram illustrating a configuration of a stereodistance measurement unit according to the first embodiment of thepresent technology.

FIG. 6 is a block diagram illustrating a configuration of a distanceaccuracy improvement unit according to the first embodiment of thepresent technology.

FIG. 7 is a flowchart for describing distance measurement processingaccording to the first embodiment of the present technology.

FIG. 8 is a flowchart for describing accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 9 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 10 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 11 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 12 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 13 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology.

FIG. 14 is a flowchart for describing integration processing accordingto the first embodiment of the present technology.

FIG. 15 is a block diagram illustrating a configuration of the distanceaccuracy improvement unit according to the first embodiment of thepresent technology.

FIG. 16 is a block diagram illustrating a configuration of the imagingcontrol system according to the first embodiment of the presenttechnology.

FIG. 17 is a diagram illustrating a configuration of an imaging controlsystem according to a second embodiment of the present technology.

FIG. 18 is a diagram illustrating a configuration of the imaging controlsystem according to the second embodiment of the present technology.

FIG. 19 is a diagram illustrating a coordinate system of a stereo camerasystem according to the second embodiment of the present technology.

FIG. 20 is a diagram illustrating distance accuracy characteristicsaccording to the second embodiment of the present technology.

FIG. 21 is a diagram illustrating distance accuracy characteristicsaccording to the second embodiment of the present technology.

FIG. 22 is a diagram illustrating a configuration of the imaging controlsystem according to the second embodiment of the present technology.

FIG. 23 is a block diagram illustrating a configuration of the imagingcontrol system according to the second embodiment of the presenttechnology.

FIG. 24 is a flowchart for describing distance measurement processingaccording to the second embodiment of the present technology.

FIG. 25 is a diagram illustrating a configuration of the imaging controlsystem according to the second embodiment of the present technology.

FIG. 26 is a block diagram illustrating a configuration of the imagingcontrol system according to the second embodiment of the presenttechnology.

FIG. 27 is a block diagram illustrating a configuration of the imagingcontrol system according to the second embodiment of the presenttechnology.

FIG. 28 is a flowchart for describing integration processing accordingto the second embodiment of the present technology.

FIG. 29 is a diagram for describing viewpoint conversion processing.

FIG. 30 is a diagram for describing the viewpoint conversion processing.

FIG. 31 is a block diagram illustrating a configuration of the imagingcontrol system according to the second embodiment of the presenttechnology.

FIG. 32 is a flowchart for describing the distance measurementprocessing according to the second embodiment of the present technology.

FIG. 33 is a diagram for describing an image of a current frame.

FIG. 34 is a diagram for describing an image of a past frame.

FIG. 35 is a diagram illustrating a relationship between a monocularcamera and coordinate axes.

FIG. 36 is a diagram illustrating a relationship between a camera and animaging surface.

FIG. 37 is a diagram for describing an optical flow from a center of animage.

FIG. 38 is a diagram illustrating an arrangement of cameras of thestereo camera system according to the second embodiment of the presenttechnology.

FIG. 39 is a diagram illustrating an arrangement of cameras of thestereo camera system according to the second embodiment of the presenttechnology.

FIG. 40 is a diagram illustrating an arrangement of cameras of thestereo camera system according to the second embodiment of the presenttechnology.

FIG. 41 is a block diagram illustrating an example of a schematicconfiguration of a vehicle control system.

FIG. 42 is an explanatory diagram illustrating an example ofinstallation positions of a vehicle exterior information detection unitand imaging units.

MODE FOR CARRYING OUT THE INVENTION

Hereinafter, modes for carrying out the present technology will bedescribed. Note that the description will be given in the followingorder.

1. First Embodiment: Imaging Control System (FIGS. 1 to 14)

(1) Imaging Control System (FIGS. 1 to 3)

(2) Configuration of Imaging Control Device (FIGS. 4 to 6)

(3) Operation of Distance Measurement Unit (FIG. 7)

(4) Operation of Distance Accuracy Improvement Unit (FIGS. 8 to 13)

(5) Error

(6) Integration Processing (FIG. 14)

(7) Modification (FIGS. 15 and 16)

2. Second Embodiment: Imaging Control System (FIGS. 17 to 40)

(1) Arrangement of Cameras (FIGS. 17 to 22)

(2) Configuration Example 1 of Imaging Control System (FIGS. 23 and 24)

(3) Configuration Example 2 of Imaging Control System (FIGS. 25 and 26)

(4) Configuration Example 3 of Imaging Control System (FIGS. 27 to 30)

(5) Configuration Example 4 of Imaging Control System (FIGS. 31 to 37)

(6) Modifications (FIGS. 38 to 40)

3. Application Example (FIGS. 41 and 42)

4. Others

First Embodiment

(1) Imaging Control System (FIGS. 1 to 3)

FIG. 1 is a diagram illustrating a configuration of an imaging controlsystem according to a first embodiment of the present technology. In animaging control system 1 of the present technology, as illustrated inFIG. 1, four sets of stereo camera systems 21A to 21D are attached infour directions of a vehicle 11. The stereo camera systems are attachedto door mirrors (side mirrors) 12 and 13 on side surfaces of the vehicle11 and are attached to bumpers on front and rear surfaces. When attachedto the side surface, the stereo camera system can be attached to apillar (a front pillar, a center pillar, a rear pillar, or the like), adoor, a roof rail, or the like, other than the door mirror 12 or 13.

The stereo camera system 21A is installed on a left side of the vehicle11 and measures a distance to a target object in a detection range 22Aon the left side of the vehicle 11. The stereo camera system 21B isinstalled on a right side of the vehicle 11 and measures a distance to atarget object in a detection range 22B on the right side of the vehicle11. The stereo camera system 21C is installed on a front of the vehicle11 and measures a distance to a target object in a detection range 22Cin front of the vehicle 11. The stereo camera system 21D is installed atthe rear of the vehicle 11 and measures a distance to a target object ina detection range 22D behind the vehicle 11.

Cameras (cameras 41 and 42 in FIG. 2 as described below) of the stereocamera systems 21A to 21D perform capture for distance measurement usinga lens with a wide viewing angle. FIG. 1 illustrates an example of acase where the viewing angle is 180 degrees as the detection ranges 22Ato 22D (note that, to actually secure the viewing angle of 180 degrees,a lens with a wider viewing angle than 180 degrees, for example, 190degrees, is necessary). Furthermore, the detection ranges 22A to 22D inFIG. 1 indicate detection ranges in an angular direction, and the sizein a distance direction, that is, the size of a semicircle diameter isactually larger. This also similarly applies to FIG. 3 as describedbelow.

Note that, precisely, the detection ranges 22A to 22D are areas whereimaging ranges of the cameras 41 and 42 in FIG. 2 as described belowoverlap, but the detection ranges 22A to 22D are illustrated bysemicircles with one radius for convenience.

Note that, in a case where it is not necessary to individuallydistinguish the stereo camera systems 21A to 21D, the stereo camerasystems 21A to 21D are hereinafter described as stereo camera system 21.The four sets of stereo camera systems 21, which have similar otherconfiguration elements, monitor entire periphery of the vehicle 11. Aset of stereo camera systems 21 is configured by two or more cameras.

FIG. 2 is a diagram illustrating a coordinate system of the stereocamera system according to the first embodiment of the presenttechnology. The coordinate system of the stereo camera system 21 isdefined as illustrated in FIG. 2.

A center point of one camera 41 of the stereo camera system 21configured by the two cameras 41 and 42 is Oa, a center point of theother camera 42 is Ob, a midpoint between the center point Oa and thecenter point Ob (that is, a central point of the stereo camera system21) is O. A target point to be captured is P, and a distance (base linelength) between the center point Oa and the center point Ob is L.Between angles formed by a straight line 46 connecting the target pointP and the center point O and a straight line 45 passing through thecenter point Oa and the center point Ob, an angle on a left side in FIG.2 (an angle formed by the straight line 46 and a line segment on a leftside of the center point O on the straight line 45) is defined as θ.That is, the angle θ is an angle formed by the target point P to becaptured and the stereo camera system 21. Note that the target pointrepresents a target object to be captured, that is, an object to bemonitored, and schematically represents, for example, a person, anobstacle, another vehicle, or the like around the vehicle 11 as a point.

Between angles formed by a straight line 47 connecting the target pointP and the center point Oa and the straight line 45, an angle on a leftside in FIG. 2 (an angle formed by the straight line 47 and a linesegment on a left side in FIG. 2 of the center point Oa on the straightline 45) is defined as θa. Between angles formed by a straight line 48connecting the target point P and the center point Ob and the straightline 45, an angle on a left side in FIG. 2 (an angle formed by thestraight line 48 and a line segment on a left side in FIG. 2 of thecenter point Ob on the straight line 45) is defined as θb. An angleformed by the straight line 47 and the straight line 48 is a.Furthermore, a distance between the center point O and the target pointP is ρ, a distance between the target point P and the center point Oa isρa, and a distance between the target point P and the center point Ob isρb. At this time, the following equation (1) is obtained from the sinetheorem.

ρa/sin θb=L/sin α=L/sin(θa−θb)  (1)

Note that α=θa−θb.

Furthermore, the distance ρ between the center point O and the targetpoint P can be written as the following equation (2).

ρ·sin θ=ρa·sin(π−θa)=ρa·sin θa  (2)

The equation (3) is obtained from the equations (1) and (2).

sin(θa−θb)=L/ρ·sin θa·sin θb/sin θ  (3)

In general, the distance (base line length) L between the center pointOa and the center point Ob is about several to several tens of cm,whereas the distance p from the center point O to the target point P isabout, for example, several m, which is sufficiently large, and in thiscase, θ≈θa, and θ≈θb are established. Further, θb<θ<θa is alwaysestablished. From these conditions, the following approximate equation(4) is established.

sin θa·sin θb≈sin²θ  (4)

The following equation (5) is obtained from the equations (3) and (4).

sin(θa−θb)≈L/ρ·sin θ  (5)

Since the angles θa and θb are angles of object light of the two cameras41 and 42, a difference θa−θb between the angles is an angulardifference of incident light. In stereo image processing, the distanceto the target object is calculated from θa−θb. Since the base linelength L is a constant, it is found that the difference θa−θb isinversely proportional to the distance ρ to the target object accordingto the equation (5). Therefore, the distance measurement accuracydecreases as the distance between the target object and the stereocamera system 21 increases.

One of major reasons to perform the distance measurement in the stereocamera system 21 mounted on the vehicle 11 is to detect an obstacle inthe vicinity of the vehicle 11 and to prevent contact between thevehicle 11 and the obstacle. Therefore, it is reasonable that thedistance measurement accuracy increases as the distance between thevehicle 11 and the obstacle is short.

However, there are places where the distance measurement accuracy is lowalthough these places are close to the vehicle 11. Specifically, asillustrated in FIG. 3, the distance measurement accuracy in the vicinityof four corners of the vehicle 11 is low. FIG. 3 is a diagram fordescribing a range in which the distance measurement accuracy is lowaccording to the first embodiment of the present technology.

As illustrated in FIG. 3, an area 61AC where the detection range 22A ofthe stereo camera system 21A and the detection range 22C of the stereocamera system 21C overlap is distant from both the stereo camera system21A and the stereo camera system 21C. An area 61BC where the detectionrange 22B of the stereo camera system 21B and the detection range 22C ofthe stereo camera system 21C overlap is distant from both the stereocamera system 21B and the stereo camera system 21C.

Similarly, an area 61BD where the detection range 22B of the stereocamera system 21B and the detection range 22D of the stereo camerasystem 21D overlap is distant from both the stereo camera system 21B andthe stereo camera system 21D. An area 61AD where the detection range 22Aof the stereo camera system 21A and the detection range 22D of thestereo camera system 21D overlap is distant from both the stereo camerasystem 21A and the stereo camera system 21D.

Therefore, the distance measurement accuracy in these areas 61AC, 61BC,61BD, and 61AD is low despite relatively close to the vehicle 11.Monitoring areas of the two stereo camera systems 21 overlap in theareas 61AC, 61BC, 61BD, and 61AD at the four corners. Therefore, in thepresent technology, the measurement accuracy is improved from distancemeasurement results of the two stereo camera systems 21.

(2) Configuration of Imaging Control Device (FIGS. 4 to 6)

FIG. 4 is a block diagram illustrating a configuration of the imagingcontrol system 1 according to the first embodiment of the presenttechnology. The imaging control system 1 is configured by a camerasystem 20 and an imaging control unit 81.

The camera system 20 includes the stereo camera systems 21A to 21D. Thestereo camera system 21A includes an imaging unit 101A and an imagingunit 102A. The imaging unit 101A includes a camera 41A, and the imagingunit 102A includes a camera 42A.

Similarly, the stereo camera system 21B includes an imaging unit 101Band an imaging unit 102B, and the imaging unit 101B includes a camera41B and the imaging unit 102B includes a camera 42B. The stereo camerasystem 21C includes an imaging unit 101C and an imaging unit 102C, andthe imaging unit 101C includes a camera 41C and the imaging unit 102Cincludes a camera 42C. The stereo camera system 21D includes an imagingunit 101D and an imaging unit 102D, and the imaging unit 101D includes acamera 41D and the imaging unit 102D includes a camera 42D.

Images captured by the imaging units 101A and 102A are supplied to astereo distance measurement unit 91A, and images captured by the imagingunits 101B and 102B are supplied to a stereo distance measurement unit91B. Images captured by the imaging units 101C and 102C are supplied toa stereo distance measurement unit 91C, and images captured by theimaging units 101D and 102D are supplied to a stereo distancemeasurement unit 91D.

The imaging control unit 81 is configured by the stereo distancemeasurement units 91A to 91D, a distance accuracy improvement unit 92AC,a distance accuracy improvement unit 92BC, a distance accuracyimprovement unit 92AD, and a distance accuracy improvement unit 92BD.Further, the imaging control unit 81 includes an integration unit 93.

The stereo distance measurement unit 91A measures the distance in thedetection range 22A on the left side of the vehicle 11. The stereodistance measurement unit 91B measures the distance in the detectionrange 22B on the right side of the vehicle 11. The stereo distancemeasurement unit 91C measures the distance in the detection range 22C infront of the vehicle 11. The stereo distance measurement unit 91Dmeasures the distance in the detection range 22D behind the vehicle 11.

The distance accuracy improvement unit 92 acquires a measurement resultfrom the stereo distance measurement unit 91 that measures the distancein the corresponding overlapping area 61, and improves the distanceaccuracy. In other words, the distance accuracy improvement unit 92ACacquires the measurement results of the stereo distance measurement unit91A that measures the distance in the detection range 22A and the stereodistance measurement unit 91C that measures the distance in thedetection range 22C, and improves the distance accuracy. The distanceaccuracy improvement unit 92BC acquires the measurement results of thestereo distance measurement unit 91B that measures the distance in thedetection range 22B and the stereo distance measurement unit 91C thatmeasures the distance in the detection range 22C, and improves thedistance accuracy.

Similarly, the distance accuracy improvement unit 92AD acquires themeasurement results of the stereo distance measurement unit 91A thatmeasures the distance in the detection range 22A and the stereo distancemeasurement unit 91D that measures the distance in the detection range22D, and improves the distance accuracy. The distance accuracyimprovement unit 92BD acquires the measurement results of the stereodistance measurement unit 91B that measures the distance in thedetection range 22B and the stereo distance measurement unit 91D thatmeasures the distance in the detection range 22D, and improves thedistance accuracy.

The integration unit 93 acquires and integrates outputs of the distanceaccuracy improvement unit 92AC, the distance accuracy improvement unit92BC, the distance accuracy improvement unit 92AD, and the distanceaccuracy improvement unit 92BD, grasps a state of the entire peripheryof the vehicle 11, and outputs the state.

FIG. 5 is a block diagram illustrating a configuration of a stereodistance measurement unit according to the first embodiment of thepresent technology. The stereo distance measurement unit 91 isconfigured as illustrated in FIG. 5.

The stereo distance measurement unit 91 includes image correction units111 and 112 and a stereo image processing unit 113. Outputs of theimaging unit 101 (including the camera 41) and the imaging unit 102(including the camera 42) of the stereo camera system 21 arerespectively supplied to the image correction unit 111 and the imagecorrection unit 112, and aberration of a lens and the like are correctedas preprocessing. That is, since the cameras 41 and 42 have wide-anglelenses and are cameras capable of performing capture with a widerviewing angle than ordinary cameras, captured images are distorted.Processing of correcting the distortion and projecting the image on aplane to obtain a planar image is performed for distance calculation.The stereo image processing unit 113 detects the distance to the targetobject from outputs of the image correction unit 111 and the imagecorrection unit 112. That is, an object appearing in one image of thecameras 41 and 42 is detected from the other image, and the distance iscalculated from deviation between positions.

Note that the wide-angle camera is a camera including a lens of 35 mm orless, in particular, a lens of 28 mm or less, in 35-mm conversion.Alternatively, the wide-angle camera is a camera capable of performingcapture with the viewing angle of 60 degrees or more, in particular, 120degrees or more, or 150 degrees or more. The viewing angle can be 180degrees or more. In particular, a wide angle lens or camera with a wideviewing angle is sometimes referred to as a fisheye lens (fθ lens) or afisheye camera, or a super wide-angle lens or super wide-angle camera.

The distance accuracy improvement unit 92 in FIG. 4 is configured asillustrated in FIG. 6. FIG. 6 is a block diagram illustrating aconfiguration of the distance accuracy improvement unit according to thefirst embodiment of the present technology. As illustrated in FIG. 6,the distance accuracy improvement unit 92 includes acquisition units 141and 142, an intersection detection unit 143, a distance correction unit144, and an output unit 145.

The acquisition units 141 and 142 acquire measurement information fromthe corresponding stereo distance measurement units 91. For example, inthe case of the distance accuracy improvement unit 92AC, the acquisitionunit 141 acquires the measurement information of the stereo distancemeasurement unit 91A, and the acquisition unit 142 acquires themeasurement information of the stereo distance measurement unit 91C. Theintersection detection unit 143 detects intersections from themeasurement information acquired by the acquisition units 141 and 142.In other words, overlap of observation points is detected. The distancecorrection unit 144 calculates a distance of the intersection detectedby the intersection detection unit 143. In other words, the distancemeasured by the stereo distance measurement unit 91 is corrected. Theoutput unit 145 outputs a result calculated by the distance correctionunit 144 to the integration unit 93.

(3) Operation of Distance Measurement Unit (FIG. 7)

Next, an operation of the stereo distance measurement unit 91 will bedescribed with reference to FIG. 7. FIG. 7 is a flowchart for describingdistance measurement processing according to the first embodiment of thepresent technology.

In step S11, the imaging unit 101 (including the camera 41) and theimaging unit 102 (including the camera 42) in FIG. 5 capture theobservation point. In step S12, the image correction unit 111 correctslens aberration, camera image distortion, and the like of the imageimaged by the imaging unit 101. Similarly, the image correction unit 112corrects lens aberration, camera image distortion, and the like of theimage imaged by the imaging unit 102. In other words, the distortion ofthe image is corrected and the image is projected on a virtual plane toobtain a planar image for distance calculation.

In step S13, the stereo image processing unit 113 calculates thedistance to the observation point. In other words, the camera 41 of theimaging unit 101 and the camera 42 of the imaging unit 102 are arrangedat positions separated by a distance L. Therefore, the image captured bythe camera 41 and the image captured by the camera 42 have a phasedifference, and the distance to the observation point can be calculatedon the basis of the phase difference. That is, the object correspondingto the object appearing in one image of the cameras 41 and 42 isdetected from the other image, and the distance is calculated from thedeviation between the positions of the objects in the two images. Themeasurement information obtained as a result of the calculation isoutput to the corresponding distance accuracy improvement unit 92.

In step S14, the stereo image processing unit 113 determines whether ornot to terminate the processing. In a case where an instruction ontermination of the processing has not been given yet from a user, theprocessing returns to step S11 and the processing in step S11 andsubsequent steps is repeated. In a case where the instruction on thetermination of the processing has been given, the processing isterminated.

The above processing is performed in the detection ranges 22A to 22D bythe stereo distance measurement units 91A to 91D, respectively. Themeasurement information obtained as a result of the measurement in thedetection ranges 22A to 22D is output to the corresponding distanceaccuracy improvement units 92A to 92D.

In other words, the measurement information of the stereo distancemeasurement unit 91A that has measured the distance in the detectionrange 22A and of the stereo distance measurement unit 91C that hasmeasured the distance in the detection range 22C is supplied to thedistance accuracy improvement unit 92AC. The measurement information ofthe stereo distance measurement unit 91B that has measured the distancein the detection range 22B and of the stereo distance measurement unit91C that has measured the distance in the detection range 22C issupplied to the distance accuracy improvement unit 92BC.

Similarly, the measurement information of the stereo distancemeasurement unit 91A that has measured the distance in the detectionrange 22A and of the stereo distance measurement unit 91D that hasmeasured the distance in the detection range 22D is supplied to thedistance accuracy improvement unit 92AD. The measurement information ofthe stereo distance measurement unit 91B that has measured the distancein the detection range 22B and of the stereo distance measurement unit91D that has measured the distance in the detection range 22D issupplied to the distance accuracy improvement unit 92BD.

Note that the virtual plane on which the image is projected in thecorrection processing can be one plane. However, it is also possible toprepare a plurality of virtual planes (for example, three), divide theimage captured with the wide-angle lens into three, and project theimage divided into ⅓ into the respective virtual planes.

(4) Operation of Distance Accuracy Improvement Unit (FIGS. 8 to 13)

Next, an operation of the distance accuracy improvement unit 92 will bedescribed with reference to FIG. 8. FIG. 8 is a flowchart for describingaccuracy improvement processing according to the first embodiment of thepresent technology.

In step S51, the acquisition units 141 and 142 in FIG. 6 acquire themeasurement information from the stereo image processing units 113 ofthe corresponding stereo distance measurement units 91. For example, inthe case of the distance accuracy improvement unit 92AC, the acquisitionunit 141 acquires measurement information from the stereo imageprocessing unit 113A of the stereo distance measurement unit 91A, andthe acquisition unit 142 acquires measurement information from thestereo image processing unit 113C of the stereo distance measurementunit 91C.

In step S52, the intersection detection unit 143 determines whether ornot the observation points are observation points in an overlappingrange. In other words, whether or not the coordinates of the observationpoints included in the measurement information acquired by theacquisition units 141 and 142 in step S51 are coordinates in the area 61is determined. For example, in the case of the distance accuracyimprovement unit 92AC, the coordinates of the observation point in thedetection range 22A and the observation point in the detection range 22Care input, and thus whether or not the input coordinates are coordinatesincluded in the range 61AC where the detection ranges 22A and 22Coverlap is determined.

In a case where the observation points in the overlapping range areobserved, the intersection detection unit 143 determines in step S53whether or not an intersection exists. Here, the intersection will bedescribed with reference to FIG. 9.

FIG. 9 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology. Note thatFIG. 9 schematically illustrates the vehicle 11. This also similarlyapplies to FIGS. 10 to 13 as described below.

As illustrated in FIG. 9, it is assumed that an observation point P_(A1)is observed in a line-of-sight direction 201 _(A1) from the image of thestereo camera system 21A acquired by the acquisition unit 141. Thecoordinates of this observation point P_(A1) have a distance measurementerror D_(A1). In other words, in a case where an object is on apredetermined line of sight (that is, the target point P to be capturedin FIG. 2) and the object is observed as an observation point, theposition of the actual target point to be captured is somewhere in anerror range. A point corresponding to a target object obtained byobserving a predetermined object as the target object to be monitored,such as a person, an obstacle, or another vehicle around the vehicle 11is the observation point. In other words, an image of the target objectobtained via an observation system, that is, a point based onobservation information (for example, a measured distance in an observeddirection) is the observation point. Therefore, since the coordinates ofthe observation point P_(A1) include an error, in reality, theobservation point P_(A1) can be considered to be located within a rangeof the error D_(A1) that is a range from a coordinate D_(A1F) ahead ofthe observation point P_(A1) and a coordinate D_(A1E) after theobservation point P_(A1). In FIG. 9, the error D_(A1) is illustrated bya thick line. Note that the details of the error will be describedbelow.

Similarly, it is assumed that an observation point P_(C1) is observed ina line-of-sight direction 201 _(C1) from the image of the stereo camerasystem 21C acquired by the acquisition unit 142. The coordinates of thisobservation point P_(C1) have a distance measurement error Dm. That is,since the coordinates of the observation point P_(C1) include an error,the observation point P_(C1) can be considered to be actually locatedwithin a range of the error D_(C1) that is a range from a coordinateD_(C1F) ahead of the observation point P_(C1) and a coordinate D_(C1E)after the observation point P_(C1).

As described above, the error D_(A1) and the error D_(C1) respectivelyhave predetermined ranges (widths). For example, in a case where theobservation point P----_(A1) and the observation point P_(C1) aresubstantially the same observation points, an intersection P₁ of theobservation point P----_(A1) and the observation point P_(C1) can beconsidered as an actual observation point. In step S53, whether or notsuch an intersection P₁ exists is determined. That is, the distance(that is, the position) of the measured observation point has a width(that is, a predetermined range), and overlap of observation pointshaving the width is detected. In other words, overlap of error ranges ofthe distances of the measured observation points is detected as theoverlap of the observation points.

Therefore, in a case where it is determined in step S53 that theintersection exists, the distance correction unit 144 corrects thedistance acquired in step S51, in step S54. Specifically, the distanceacquired in step S51 is corrected to the distance of the intersectiondetected in step S53. In other words, in the example of FIG. 9, thecoordinates of the intersection P₁ are newly calculated.

In step S55, the intersection detection unit 143 determines whether ornot a plurality of intersections exists. This state will be describedwith reference to FIG. 10 FIG. 10 is a diagram for describing theaccuracy improvement processing according to the first embodiment of thepresent technology.

In the example of FIG. 10, an observation point P_(A2) is observed in aline-of-sight direction 201 _(A2) from the image of the stereo camerasystem 21A acquired by the acquisition unit 141. The coordinates of thisobservation point P_(A2) have a distance measurement error D_(A2).Further, an observation point P_(C1) is observed in the direction of theline-of-sight direction 201 _(C2) from the image of the stereo camerasystem 21C acquired by the acquisition unit 142. The coordinates of thisobservation point P_(C2) have a distance measurement error D_(C2).Further, an observation point P_(C3) is observed in a line-of-sightdirection 201 _(C3) from the image of the stereo camera system 21Cacquired by the acquisition unit 142. The coordinates of thisobservation point P_(C3) have a distance measurement error D_(C3).

The error D_(A2) and the error D_(C2) have an intersection P₂, and theerror D_(A2) and the error D_(C3) have an intersection P₃. That is, in acase of this example, the intersection P₃ is detected in addition to theintersection P₂, and there is the plurality of intersections.

In a case where it is determined in step S55 that a plurality ofintersections exists, the distance correction unit 144 selects anintersection in step S56. In the example of FIG. 10, either theintersection P₂ or the intersection P₃ is selected on the basis of apredetermined criterion. For example, an intersection close to thevehicle 11 or an intersection close to the observation point can beselected. In the case of the example of FIG. 10, the intersection P₂ isselected regardless of which criterion is adopted. The separationcalculation unit 144 sets the distance of the selected intersection as adetection distance. In the example of FIG. 10, the distance of theintersection P₂ is set as the detection distance in place of thedistance of the observation point P_(A2) measured by the stereo distancemeasurement unit 91A.

In a case where it is determined in step S55 that a plurality ofintersections does not exist, the distance correction unit 144 sets thedistance of the intersection as the detection distance in step S58. Inother words, the distance of the intersection calculated in step S54 isused as it is as the detection distance. In the case of the example ofFIG. 9, since there is only one intersection, processing proceeds fromstep S55 to step S58, in which the distance of the intersection P₁ isset as the detection distance in place of the observation point P_(A1).

In a case where it is determined in step S53 that there is nointersection, the distance correction unit 144 sets a distance to theobservation point as the detection distance in step S61. This state willbe described with reference to FIG. 11. FIG. 11 is a diagram fordescribing the accuracy improvement processing according to the firstembodiment of the present technology.

In the example of FIG. 11, an observation point P_(A3) is observed in aline-of-sight direction 201A₃ from the image of the stereo camera system21A acquired by the acquisition unit 141. The coordinates of thisobservation point P_(A3) have a distance measurement error D_(A3). Anobservation point P_(C4) is observed in a line-of-sight direction 201_(C4) from the image of the stereo camera system 21C acquired by theacquisition unit 142. The coordinates of this observation point P_(C4)have a distance measurement error D_(C4). The line-of-sight direction201 _(A3) and the line-of-sight direction 201 _(C4) intersect, but theerror D_(A3) and the error D_(C4) do not intersect.

The example of FIG. 11 is an example in which the observation pointP_(A3) and the observation point P_(C4) are observed in the overlappingrange (YES is determined in step S52), but no intersection exists (NO isdetermined in step S53). In this case, in step S61, the distancecorrection unit 144 sets the distance to the observation point as thedetection distance. In other words, the distance between the observationpoint P_(A3) and the observation point P_(C4) is used as it is as thedetection distance. That is, in this case, different observation points(target objects) are observed.

FIG. 12 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology. In theexample of FIG. 12, an observation point P_(A4) is observed in aline-of-sight direction 201 _(A4) from the image of the stereo camerasystem 21A acquired by the acquisition unit 141. The coordinates of thisobservation point P_(A4) have a distance measurement error D_(A4).Further, the acquisition unit 142 does not detect an observation pointfrom the image of the stereo camera system 21C. This example is also anexample in which the observation point P_(A4) is observed in theoverlapping range (YES is determined in step S52) but no intersectionexists (NO is determined in step S53). Therefore, even in this case, thedistance correction unit 144 sets the distance to the observation pointas the detection distance in step S61. In other words, the distance ofthe observation point P_(A4) is used as it is as the detection distance.

Note that, in a case where no intersection exists in the observationpoint and the error and the coordinates of the observation pointsthemselves match, that is, in a case where the stereo camera systems 21Aand 21C detect observation points of the same coordinates, it isdetermined in step S53 that no intersection exists. Then, in step S61,the distance to the observation point is used as it is as the detectiondistance.

Note that, in a case where the observation point is observed in theoverlapping range (YES in step S52) but there is no intersection (NO isdetermined in step S53), that is, in the case of the example of FIG. 12,this case can be processed as illustrated by the dotted lines in FIG. 8.

In other words, in a case where it is determined in step S53 that nointersection exists, the intersection detection unit 143 determines instep S60 whether or not another observation point exists in thevicinity. In the case where another observation point exists in thevicinity, the distance correction unit 144 sets the distance to theobservation point as the detection distance in step S61.

In a case where it is determined in step S60 that no other observationpoint exists in the vicinity, the distance correction unit 144 executeserror processing in step S62. In other words, in this processing, theobservation point P_(A4) is supposed to be detected by the stereo camerasystem 21C but the observation point P_(A4) is not detected in the caseillustrated in FIG. 12. Therefore, the detection of the observationpoint P_(A4) is determined as an error and is deleted.

In a case where it is determined in step S52 that the observation pointis not located in the overlapping range, the distance correction unit144 sets the distance to the observation point as the detection distancein step S61. In other words, the distance of the observation point isused as it is as the detection distance. This example will be describedwith reference to FIG. 13.

FIG. 13 is a diagram for describing the accuracy improvement processingaccording to the first embodiment of the present technology. In theexample of FIG. 13, an observation point P_(A5) is observed in aline-of-sight direction 201 _(A5) from the image of the stereo camerasystem 21A acquired by the acquisition unit 141. The coordinates of thisobservation point P_(A5) have a distance measurement error D_(A5). Theobservation point P_(A5) is observed in the detection range 22A, but thedetection range 22A is not the area 61 _(AC). Further, no observationpoint is detected in the detection range 22C. In such a state, thedistance of the observation point P_(A5) is used as it is as thedetection distance. That is, the distance of the observation point notlocated within the area 61 in the detection range 22 is used as it is asthe detection distance.

After the processing in step S56, S58, or S61, the output unit 145outputs the obtained measurement information to the integration unit 93in step S57. In other words, the measurement information of theintersection selected in step S56, the measurement information of theintersection obtained in step S58, or the measurement information of thedistance to the observation point obtained in step S61 is supplied tothe integration unit 93.

After the processing in step S57 or S62, the distance correction unit144 determines in step S59 whether or not to terminate the processing.In a case where an instruction on termination of the processing has notbeen given yet from the user, the processing returns to step S51 andsimilar processing is repeated. In a case where the instruction on thetermination has been given, the processing is terminated.

The above processing is performed in each of the distance accuracyimprovement unit 92AC, the distance accuracy improvement unit 92BC, thedistance accuracy improvement unit 92AD, and the distance accuracyimprovement unit 92BD.

(5) Error

Next, the error of the stereo camera system 21 will be furtherdescribed. When the above equation (5) is transformed into an equationfor calculating the distance ρ from the stereo camera system 21 to thetarget point P to be captured, the equation (6) is obtained.

ρ≈L·sin θ/sin(θa−θb)=L·sin θ/sin α  (6)

Note that α=θa−θb.

Furthermore, when a is sufficiently small, it can be approximated as sinα≈α. So the equation (6) can be further transformed into the followingequation (7).

ρ≈L·(sin θ)/α  (7)

Since angles observed in the stereo camera system 21 are the angles θaand θb, the error of the distance ρ can be calculated from a reciprocalratio of the angle α (=θa−θb) where the distance L and the angle θ areconstants. In general, since the angles θa and θb obtained from thestereo camera system 21 are discrete values, the angle α is alsodiscrete.

Here, when a is expressed as α=d/E, the equation (7) can be expressed bythe following equation (8). d is an integer and varies according to α,and E is a fixed value of a real number determined from the resolutionof the camera and the like. Although a value range of α is 0<α<π(3.14),d can be larger than 3.14 by being divided by a sufficiently large fixedvalue E.

ρ≈L·E·(sin θ)/d  (8)

It is assumed that the error of d is ±1. In that case, an error Δμm ofthe distance ρ when the error of d is −1 and an error Δρp of thedistance ρ when the error of d is +1 are as follows.

$\begin{matrix}{\begin{matrix}{{\Delta \; \rho \; m} = {{L \cdot E \cdot {\left( {\sin \; \theta} \right)/\left( {d - 1} \right)}} - {L \cdot E \cdot {\left( {\sin \; \theta} \right)/d}}}} \\{= {L \cdot E \cdot {\left( {\sin \; \theta} \right)/\left( {d \cdot \left( {d - 1} \right)} \right)}}} \\{= {\rho/\left( {d - 1} \right)}}\end{matrix}\left( {{{note}\mspace{14mu} {that}\mspace{14mu} d} > 1} \right)} & (9) \\\begin{matrix}{{\Delta \; \rho \; p} = {{L \cdot E \cdot {\left( {\sin \; \theta} \right)/d}} - {L \cdot E \cdot {\left( {\sin \; \theta} \right)/\left( {d + 1} \right)}}}} \\{= {L \cdot E \cdot {\left( {\sin \; \theta} \right)/\left( {d \cdot \left( {d + 1} \right)} \right)}}} \\{= {p/\left( {d + 1} \right)}}\end{matrix} & (10)\end{matrix}$

In the case of d=2, the error Δ of the distance ρ becomes maximum. Inthis case, Δρm=ρ from the equation (9) and Δρp=ρ/3 from the equation(10). The error when d is −1, in other words, the error on the sidewhere the distance ρ becomes larger (longer) is 100% with respect to thedistance ρ to the target point P to be captured. Furthermore, the errorwhen d is +1, that is, the error on the side where the distance ρbecomes smaller (shorter) is 33% with respect to the distance ρ to thetarget point P to be captured. This is the maximum error and a normalerror is smaller. For example, in a case where d=10, the error Δρm is11% of the distance ρ and the error Δρp is 9% of the distance ρ.Furthermore, this is a case where the error of d is ±1, and the error ofthe distance ρ becomes larger as the error of d becomes larger.

As described above, the error D_(A), D_(C), and the like can bedetermined by appropriately determining the value of d to be ±1, ±2, orthe like in system design. For example, first, the stereo camera system21 is checked with ±1, then the value is changed to ±2, ±3, and the liketo adjust the error.

(6) Integration Processing (FIG. 14)

Next, integration process will be described with reference to FIG. 14.FIG. 14 is a flowchart for describing the integration processingaccording to the first embodiment of the present technology.

In step S91, the integration unit 93 in FIG. 4 executes the integrationprocessing. In other words, the measurement information measured by thedistance accuracy improvement unit 92AC, the distance accuracyimprovement unit 92BC, the distance accuracy improvement unit 92AD, andthe distance accuracy improvement unit 92BD are measurement informationof the periphery of the vehicle 11, that is, the left side, right side,front, and rear. The integration unit 93 integrates these pieces ofmeasurement information, and causes a monitor (not illustrated) todisplay the integrated information as the measurement information in alldirections of the vehicle 11, and causes a storage unit to store theintegrated information.

The integration unit 93 performs various assistances. For example, theintegration unit 93 can perform parking assistance such as backwardparking and parallel parking, provide obstacle recognition informationsuch as structures, bicycles, and pedestrians obliquely behind thevehicle at intersection stop or light or left turn, and monitor thefollowing cars in the next lane at lane change.

Furthermore, the integration unit 93 can be made not to issue an alertalthough performing monitoring at normal driving, and can issue an alertwhen detecting an obstacle at a distance equal to or less than a basisdistance or can in particular monitor an opposite side of a travelingdirection of the vehicle (for example, the right side at left turn orthe left side at right turn). Conversely, monitoring in unnecessarydirections (for example, the right side at left turn and the left sideat right turn) can be omitted. Further, although the detection accuracyin the four directions may be the same, the detection accuracy of onedirection (for example, a side surface) can be made higher than theother direction (for example, the front surface or the rear surface).

In step S92, the integration unit 93 determines whether or not to endthe processing. In a case where an instruction on termination of theprocessing has not been given yet from the user, the processing returnsto step S91 and similar processing is repeated. In a case where theinstruction on the termination has been given, the processing isterminated.

Generally, to widen a monitoring range, a lens with a wide angle of viewis attached to the camera. In particular, in a case where a wide rangeof monitoring is required, such as the side surface of the vehicle, theentire side surface of the vehicle can be monitored by one camera or aset of stereo camera systems by use of a super wide-angle lens such as afisheye lens. However, in a case where the super wide-angle lens isused, spatial resolution of a captured image is lowered, and thus thesize of an object transferred to the image becomes small, and theanalysis accuracy is lowered in a case where the captured image isanalyzed and image recognition or the like is performed. The distancemeasurement accuracy by the stereo image processing is also lowered.

However, according to the present technology, the overlap of a pluralityof the observation points where the measurement ranges overlap isdetected, and a new distance is calculated on the basis of the overlapof the observation points. Therefore, the decrease in the distancemeasurement accuracy can be suppressed.

Note that the present technology can also be applied to a case ofmeasuring a distance using a camera with a normal viewing angle.

Note that although the cameras 41 and 42 of the stereo camera system 21can be arranged in a lateral direction, the cameras 41 and 42 can alsobe arranged shifted up and down (in the vertical direction) as describedbelow with reference to FIGS. 17 to 22. In addition, the cameras 41 and42 may be arranged to have optical axes directed downward with respectto a direction parallel to a basis plane.

Furthermore, in the above description, the four directions are monitoredby the stereo camera systems 21, but at least one of the four directionsmay be monitored by an ultrasonic wave, a radar, a laser sensor, aninfrared sensor, or the like. Moreover, a viewing system can be used incombination, in addition to the obstacle recognition and monitoring bythe stereo camera system 21.

(7) Modification (FIGS. 15 and 16)

Note that, to correct the distance by the distance correction unit 144,a configuration can be further added. FIG. 15 is a block diagramillustrating a configuration of the distance accuracy improvement unitaccording to the first embodiment of the present technology.

In the configuration example of FIG. 15, a detection system 85 isprovided in addition to the camera system 20. The detection system 85includes a detection unit 149. The detection unit 149 is providedcorresponding to each of the detection ranges 22A to 22D. The detectionunit 149 is configured by at least one of an ultrasonic sensor, aninfrared sensor, a millimeter wave sensor, or a radar, for example. Thedetection unit 149 as another detection unit detects the distance of theobservation point in each of the detection ranges 22A to 22D by anultrasonic sensor, an infrared sensor, a millimeter wave sensor, aradar, or the like. A detection result is supplied to the correspondingdistance correction unit 144. The distance correction unit 144 executesaccuracy improvement processing using not only the output from theintersection detection unit 143 but also the detection result of thedetection unit 149. With the configuration, more accurate accuracyimprovement processing can be realized.

Moreover, another function can be added. FIG. 16 is a block diagramillustrating a configuration of the imaging control system according tothe first embodiment of the present technology.

In the configuration example of FIG. 16, a captured image of at leastone of the imaging unit 101A or 102A (the imaging unit 101A in thisembodiment) of the stereo camera system 21A is supplied to a recognitionprocessing unit 83. Similarly, captured images of the imaging unit 101Bof the stereo camera system 21B, the imaging unit 101C of the stereocamera system 21C, and the imaging unit 101D of the stereo camera system21D are supplied to the recognition processing unit 83. The recognitionprocessing unit 83 recognizes what the target object observed in each ofthe detection ranges 22A to 22D is from the input captured images. Arecognition result is presented to the user.

Second Embodiment

(1) Arrangement of Cameras (FIGS. 17 to 22)

Next, a second embodiment will be described. FIGS. 17 and 18 arediagrams illustrating a configuration of an imaging control systemaccording to a second embodiment of the present technology.

As illustrated in FIGS. 17 and 18, in an imaging control system 501according to the second embodiment, a stereo camera system 521 includingtwo cameras 541 and 542 as a set is provided on a side surface of avehicle 511 in an up-down direction (that is, a vertical direction).That is, the cameras 541 and 542 are arranged in a plane perpendicularto a basis plane (road surface 551) to have a parallax in a heightdirection. Note that the cameras 541 and 542, the stereo camera system521, and the vehicle 511 respectively correspond to the cameras 41 and42, the stereo camera system 21, and the vehicle 11 of the firstembodiment. Although attaching positions of the cameras 541 and 542 arefavorably a vicinity near a center of the side surface of the vehicle511, there are some cases where installation is difficult because thereare a door and the like in the vicinity of the center. FIGS. 17 and 18illustrate an example in which the cameras 541 and 542 are attached tovicinities of door mirrors 512 and 513.

Furthermore, another reason to attach the cameras to the vicinities ofthe door mirrors 512 and 513 is to attach the stereo camera system 521directed obliquely downward, as illustrated in FIG. 18. To the doormirrors 512 and 513, the stereo camera system 521 can be attachedobliquely downward without adding a special jig or the like. Note that awide-angle camera is used here for the cameras 541 and 542 configuringthe stereo camera system 521.

Note that, in FIGS. 17 and 18, the stereo camera system 521 is installedonly on the left side of the vehicle 511. However, in reality, thestereo camera system 521 is installed on a right side as well.

Of course, the stereo camera system 521 can be attached to a pillar (afront pillar, a center pillar, a rear pillar, or the like), a door, aroof rail, or the like, other than to the door mirror 512 or 513. Thestereo camera system 521 may be attached to anywhere on the side surfaceof the vehicle 511.

Hereinafter, the reason why the cameras 541 and 542 are arranged asillustrated in FIGS. 17 and 18 will be described. Before thedescription, a coordinate system of the stereo camera system 521 will bedescribed.

A coordinate system of the cameras 541 and 542 and a target point P tobe captured is similar to that in the case illustrated in FIG. 2 of thefirst embodiment. Therefore, description of the coordinate system isomitted. However, the second embodiment should be understood byreplacing the cameras 41 and 42 in FIG. 2 with the cameras 541 and 542.

Since the coordinate system in FIG. 2 is applied, the equations (1) to(5) are also applied to the second embodiment.

From the equation (5), it is found that θa−θb (sin (θa−θb)) is inverselyproportional to a distance ρ from a center point O of the stereo camerasystem 521 to an object (the target point P to be captured), and isproportional to an angle θ formed by the object and the stereo camerasystem 521. It can be said that the larger θa−θb (sin (θa−θb)) is moreresistant to the influence of an error, and the distance measurementaccuracy is higher. Therefore, when the angle θ formed by the object andthe stereo camera system 521 approaches 0 or 180 degrees, sin (θa−θb)becomes small, and thus the distance measurement accuracy is lowered.

For the above reasons, when the two cameras 541 and 542 of the stereocame system 521 are attached side by side on the side surface of thevehicle 511 (that is, at the same height parallel to the road surface551), measuring a distance to the front or the rear from the sidesurface of the vehicle 511 becomes difficult. Therefore, in the case ofinstalling the stereo camera system 521 on the side surface of thevehicle 511, it is better to install the two cameras 541 and 542 up anddown (that is, by perpendicularly changing the height from the roadsurface 551). By doing so, a distance of the front (in a vehicletraveling direction) or a distance of the rear (in an opposite directionto the vehicle traveling direction) from the side surface as well as adistance of a substantially central portion of the side surface of thevehicle 511 can be accurately measured.

However, when the two cameras 541 and 542 of the stereo camera system521 are vertically arranged, the distance measurement accuracy directlyabove and below the stereo camera system 521 is lowered this time.Although the necessity to perform the distance measurement processingfor a space directly above the stereo camera system 521 for detecting anobstacle and the like is low because the space is usually the sky.However, a space directly below the stereo camera system 521 is the roadsurface 551 and thus the distance measurement processing needs to beperformed. Therefore, as illustrated in FIG. 18, consider arrangement ofthe stereo camera system 521 to have an optical axis directed obliquelydownward (the direction of the road surface 551) while maintaining thevertical arrangement.

Here, the coordinate system illustrated in FIG. 19 is further defined.FIG. 19 is a diagram illustrating the coordinate system of the stereocamera system according to the second embodiment of the presenttechnology. An angle formed by the stereo camera system 521 and the roadsurface 551 on which the vehicle 511 travels is β. In other words, astraight line 552 passing through the cameras 541 and 542 intersectswith the road surface 551 at a point R. The angle formed by the straightline 552 and the road surface 551 is β.

An optical axis 541 oa of the camera 541 and an optical axis 542 oa ofthe camera 542 are directed in a direction perpendicular to the straightline 552 passing through the cameras 541 and 542. A straight line 553that is a perpendicular line to the road surface 551 passing through thecenter point O of the stereo camera system 521 intersects with a point Ton the road surface 551. In other words, the point T is a point on theroad surface 551 directly below the stereo camera system 521 (that is,directly below the vehicle 511). The optical axes 541 oa and 542 oa aredirected in a direction of the angle β with respect to the straight line553 passing through the center point O of the stereo camera system 521and the point T. In other words, the angle β represents an attachingangle of the stereo camera system 521 and also represents a directivitydirection of the optical axes 541 oa and 542 oa of the cameras 541 and542.

Furthermore, when a height of the center point O of the stereo camerasystem 521 from the road surface 551 (a length of the straight line 553)is H and a target point to be captured on the road surface 551 is Q, adistance ρ between the center point O and the target point Q to becaptured (the length of a straight line 554 connecting the center pointO and the target point Q to be captured) can be expressed by theequation (12). The equation (12) can be derived from the equation (11).

H/ρ=sin(π−(θ+β)=sin(θ+β)  (11)

ρ=H/sin(θ+β)  (12)

Here, the following equation (13) is obtained from the equations (5) and(12).

sin(θa−θb)≈L/H·sin θ·sin(θ+β)  (13)

It is assumed that a distance L between the two cameras 541 and 542 ofthe stereo camera system 521 and an attaching height H are constants inthe equation (13). Then, the distance measurement accuracy with respectto the road surface 551 in the vicinity of the vehicle 511 depends onthe attaching angle β of the stereo camera system 521.

In a case of the angle β=π/2, that is, in a case where the two cameras541 and 542 of the stereo camera system 521 are perpendicularly attachedwith respect to the road surface 551, the angle θ=0 when the point Tdirectly below the stereo camera system 521 is captured. As a result, itis found that the distance measurement accuracy becomes lowest accordingto the equation (13).

Conversely, in a case of the angle β=0, that is, in a case where the twocameras 541 and 542 of the stereo camera system 521 are attached to bedirected directly below and in parallel to the road surface 551, theangle θ=π/2 when the point T directly below the stereo camera system 521is captured, and it is found that the distance measurement accuracybecomes highest according to the equation (13).

In the case of 0<β<π/2, the angle θ=π/2−β when the point T directlybelow is captured. At this time, the equation (13) is as in thefollowing equation (14).

sin(θa−θb)≈L/H·sin(π/2−β)·sin(π/2−β+β)=L/H·cos β  (14)

FIG. 20 illustrates change of the equation (13) with respect to theangle θ when the attaching angle β of the stereo camera system 521 ischanged in some values. FIG. 20 is a diagram illustrating distanceaccuracy characteristics according to the second embodiment of thepresent technology. In FIG. 20, the vertical axis represents themagnification of the distance measurement accuracy, and the horizontalaxis represents the angle θ (the unit is in radians).

The magnification of the distance measurement accuracy will bedescribed. The distance measurement accuracy becomes largest when thespace directly below the stereo camera system 521 (the angle θ=π/2) iscaptured in the case where the stereo camera system 521 is attached inparallel to the road surface 551 (the angle β=0). Assuming that theheight H at which the stereo camera system 521 is attached is 1.0 m andthe distance L between the two cameras 541 and 542 that configure thestereo camera system 521 is 1.0 m, and the distance measurement accuracyon the above assumption is set as a standard (one-time magnification).The reason why L=1.0 m is set is to make the standard of the distancemeasurement accuracy be one-time magnification by setting the constantterm (L/H) of the equation (14) to 1. The distance between the twocameras 541 and 542 configuring the actual stereo camera system 521 isabout several to several tens of cm.

In FIG. 20, a curve 631 represents a case of the angle β=0, a curve 632represents a case of the angle β=π/6, a curve 633 represents a case ofthe angle β=π/4, a curve 634 represents a case of the angle β=π/3, acurve 635 represents a case of the angle β=5π/12, and a curve 636represents a case of the angle β=π/2, respectively.

The reason why the left side of the curves in FIG. 20 is interrupted inthe middle will be described. In the case of the angle θ=π/2−β, thetarget point Q to be captured coincides with the point T on the roadsurface 551 directly below the stereo camera system 521. In the case ofθ+β<π/2, the target point Q to be captured is located on a right side ofthe point T in FIG. 19, that is, inside the vehicle 511 to which thestereo camera system 521 is attached, and thus the road surface 551cannot be captured. Furthermore, in the case of θ+β>π, the target pointQ to be captured is at infinity and thus measurement cannot beperformed. Therefore, FIG. 20 illustrates only a section where π/2<θ+β<πis established (a section where a value range of the angle θ isπ/2−β<θ−β because the attaching angle β of the stereo camera system 521is a constant).

Referring to FIG. 20, in the case of the angle β=0 (in the case of thecurve 631), the distance measurement accuracy takes the maximum value of1 when the angle θ=π/2 and monotonically decreases when the angle θbecomes larger than π/2. Furthermore, in the case of the angle β>0 (inthe case of the curves 632 to 636), the value L/H·cos β is obtained atthe angle θ=π/2−β. When the angle θ becomes larger than π/2−β, thedistance measurement accuracy once becomes large and then small. Then,when the angle θ=π/2, the same value L/H·cos β is obtained, which isequal to the resolution of the point T directly below the stereo camerasystem 521. Thereafter, when the angle θ>π/2, the distance measurementaccuracy becomes smaller. That is, in the equation (13), it can be saidthat the distance measurement accuracy is high in the range ofπ/2−β<θ<π/2, and this range is suitable for the distance measurement.

When increasing the angle β (where β≤π/2), the range suitable for thedistance measurement becomes broad, but the value of the equation (14)becomes small. In other words, it reaches a state where the distancemeasurement accuracy is low. Meanwhile, when decreasing the angle β, therange suitable for the distance measurement becomes narrow, but thevalue of the equation (14) becomes high and the distance measurementaccuracy becomes high. Thus, from the equation (13), it can be said thatthe distance measurement accuracy and the distance measurement range arein a trade-off state.

Therefore, if a wide distance measurement range is required, the angle βis made large (brought to approach π/2). In other words, it issufficient to bring the attaching angle β of the stereo camera system521 perpendicular to the road surface 551 (it is sufficient that theoptical axes 541 oa and 542 oa of the cameras 541 and 542 are broughtparallel to the road surface 551). Meanwhile, if the distancemeasurement accuracy at a short distance is required, the angle β isdecreased (brought to approach zero). In other words, it is sufficientto bring the attaching angle β of the stereo camera system 521 parallelto the road surface 551 (that is, horizontal in this case) (it issufficient that the optical axes 541 oa and 542 oa of the cameras 541and 542 are brought perpendicular to the road surface 551).

By setting the angle β, within the range of 0<β<π/2, the optical axes541 oa and 542 oa of the cameras 541 and 542 intersect with the roadsurface 551 at points M and N. That is, by attaching the cameras 541 and542 such that their optical axes 541 oa and 542 oa intersect with theroad surface 551, the distance measurement processing becomes possible.

FIG. 20 illustrates a relationship between the attaching angle β, of thestereo camera system 521, and the angle θ of the target point Q to becaptured with respect to the stereo camera system 521. To make therelationship between the vehicle 511 and the target point Q to becaptured easy to understand, FIG. 20 is transformed to illustrate arelationship between the distance measurement accuracy and a distance W,where a distance between the point T and the target point Q to becaptured is W, as illustrated in FIG. 19. First, the distance W isexpressed by the following equation (15). Note that since the value ofθ+β, is larger than π/2, the value of tan (θ+β) becomes negative and thevalue of distance W becomes positive.

W=H/tan(π−(θ+β)=−H/tan(θ+β)  (15)

A modified version of FIG. 20 using the equation (15) is illustrated inFIG. 21. FIG. 21 is a diagram illustrating distance accuracycharacteristics according to the second embodiment of the presenttechnology. In FIG. 21, the vertical axis represents the magnificationof the distance measurement accuracy, and the horizontal axis representsthe distance W (the unit is in meters). In FIG. 21, a curve 641represents the magnification in a case where the angle β is 0, a curve642 represents the magnification in a case where the angle β is π/6, acurve 643 represents the magnification in a case where the angle β isπ/4, and a curve 644 represents the magnification in a case where theangle β is π/3, respectively. A curve 645 represents the magnificationin a case where the angle β is 5π/12, and a curve 646 represents themagnification in a case where the angle β is π/2.

As illustrated in FIG. 21, in the case of the angle β=0 (in the case ofthe curve 641), that is, in the case where the stereo camera system 521is attached in parallel to the road surface 551, the magnification ofthe distance measurement accuracy at the point T (W=0.0 m) directlybelow the stereo camera system 521 becomes highest, which is 1. However,as the distance W increases, the distance measurement accuracy greatlydecreases (in other words, the rate of decrease is large and thedistance measurement accuracy becomes lower than that in a case wherethe angle β is larger than 0). In the case of the angle β=π/2 (that is,in the case of the curve 646), the distance measurement accuracy at thepoint T greatly decreases. However, the rate of decrease in the distancemeasurement accuracy of when the distance W becomes large, that is, whenthe target point Q to be captured is moved away from the vehicle 511 islow (the accuracy is better than that in the case where the angle β is0).

That is, when the angle β is small, the distance measurement accuracy ata short distance is high, but the distance measurement accuracy at along distance is low. On the contrary, when the angle β is increased,the distance measurement accuracy at a short distance decreases, but asignificant decrease in the distance measurement accuracy at a longdistance can be prevented. Therefore, by setting the angle β in a rangefrom π/6 to 5π/12 (the range illustrated by the curves 642 to 645), thedistance measurement accuracy at a short distance and at a long distancecan be balanced. In other words, this range is a range with high utilityvalue where the distance measurement from a short distance to a longdistance is practically possible.

For example, assuming that it is desired to measure the distance of theentire adjacent lane in a case where the stereo camera system 521 isattached to the side surface of the vehicle 511. The lane width is about3.5 m in a case of a wide highway, but considering the travelingposition within the lane of the vehicle 511, distance measurement ofabout 4 m is considered necessary. As shown in FIG. 21, the distancemeasurement accuracy is high in the case of the angle β=π/3 (in the caseof the curve 644) or in the case of π/2 (in the case of the curve 646).In the case of the angle β=π/2 (in the case of the curve 646), thedistance measurement accuracy in the vicinity of the point T (W=0.0 m)is extremely low. Therefore, considering the distance accuracy at ashort distance, it can be said that the case of the angle β=π/3 (thecase of the curve 644) is more desirable than the case of the angleβ=π/2 (the case of the curve 646).

In other words, to increase the distance measurement accuracy of onelane next to the side surface of the vehicle 511, it is good to attachthe stereo camera system 521 to the side surface of the vehicle 511 atthe angle β=π/3 (the case of the curve 644), that is, at an angle about60 degrees.

However, in the case of a large-sized vehicle such as a truck, theheight H becomes large, and thus the driver is difficult to confirm thevicinity of the vehicle 511. Therefore, in such a case, the angle β, canbe set to a smaller value so that the accuracy can be improved when thedistance W is small.

The attaching angle β, of the stereo camera system 521 will be furtherdescribed with reference to FIG. 22. FIG. 22 is a diagram illustrating aconfiguration of the imaging control system according to the secondembodiment of the present technology. FIG. 17 illustrates a case wherethe vehicle 511 is arranged on the horizontal road surface 551. Incontrast, FIG. 22 illustrates a case where the vehicle 511 is arrangedon an inclined road surface 551.

In other words, in FIG. 22, the road surface 551 is inclined by an angleγ with respect to a horizontal plane 561 that is perpendicular to avertical direction 562 that is the direction of gravity. That is, FIG.22 illustrates a state where the vehicle 511 is climbing the uphill roadsurface 551. What the stereo camera system 521 monitors are anidentification display on the road surface such as a white line on theroad surface 551 where the vehicle 511 travels, an end portion of theroad surface, a curb, a groove, a guardrail, or the like. Therefore, theroad surface 551 on which the vehicle 511 travels is used as a basisplane, and the stereo camera system 521 is attached at an angle β, withrespect to the basis plane. The coordinate system of FIG. 19 can also beapplied to FIG. 22 regardless of the value of the angle γ of the roadsurface 551.

That is, the cameras 541 and 542 of the stereo camera system 521 arearranged in an up-down direction (vertical direction) in a plane 563that is perpendicular to the road surface 551 as the basis plane andincludes the optical axes 541 oa and 542 oa. The plane 563 is also aplane perpendicular to the traveling direction of the vehicle 511 in theexamples of FIGS. 17, 18, and 22. In the examples of FIGS. 17, 18, and22, the camera 541 is arranged down and the camera 542 is arranged up inthe plane 563. Then, the stereo camera system 521 is inclined within theplane 563 such that the angle formed with the basis plane (road surface551) becomes β.

In other words, the cameras 541 and 542 of the stereo camera system 521are arranged such that the optical axes 541 oa and 542 oa are directeddownward with respect to a direction parallel to the basis plane (roadsurface 551), in other words, the optical axes 541 oa and 542 oaintersect with the basis plane. Alternatively, the optical axes 541 oaand 542 oa are arranged directed obliquely downward with respect to thevehicle 511. In other words, referring to FIG. 19, the camera 541 isarranged to cause the angle β formed by the optical axis 541 oa and thedirection toward directly below the vehicle 511 from the optical axis541 oa to fall within the range from π/6 to 5π/12. This also similarlyapplies to the camera 542. At least one of optical axis 541 oa or 542 oa(see FIG. 40 as described below) is arranged directed obliquely downwardtoward a monitoring direction (the right side direction of the cameras541 and 542 in FIG. 18 and the left side direction of the cameras 541and 542 in FIG. 19). Specifically, the cameras 541 and 542 are arrangedsuch that the angle β in FIG. 19 satisfies 0<β<π/2. With thearrangement, distance measurement in a wide range relatively close tothe vehicle 511 can be performed with accuracy. Therefore, it issuitable for monitoring the side surface of the traveling vehicle 511,which requires a wide range of monitoring.

Note that, as the cameras 541 and 542, a camera with a normal viewingangle can be used instead of the wide-angle camera.

(2) Configuration Example 1 of Imaging Control System (FIGS. 23 and 24)

Next, the imaging control system 501 in which the stereo camera system521 is arranged to have the optical axes 541 oa and 542 oa directeddownward with respect to the direction parallel to the basis plane (roadsurface 551) will be described with reference to FIG. 23. FIG. 23 is ablock diagram illustrating a configuration of the imaging control systemaccording to the second embodiment of the present technology.

The imaging control system 501 in FIG. 23 is configured by the stereocamera system 521 and an imaging control unit 581. Note that the imagingcontrol unit 581 may be integrated with the stereo camera system 521, ormay be configured to be independent of the stereo camera system 521.

For example, the stereo camera system 521 arranged on the left side ofthe vehicle 511 is configured by an imaging unit 701 including thecamera 541 and an imaging unit 702 including the camera 542. Asdescribed above, the cameras 541 and 542 are arranged on the sidesurface of the vehicle 511 up and down and such that the optical axes541 oa and 542 oa are directed downward with respect to the directionparallel to the basis plane (road surface 551). The imaging unit 701outputs an image captured by the camera 541, and the imaging unit 702outputs an image captured by the camera 542.

The imaging control unit 581 includes image correction units 711 and712, a stereo image processing unit 713, and an analysis unit 714.Outputs of the imaging unit 701 and the imaging unit 702 of the stereocamera system 521 are respectively supplied to the image correction unit711 and the image correction unit 712, and aberration of a lens and thelike are corrected as preprocessing. The stereo image processing unit713, which performs the distance measurement processing, calculates thedistance to the target object from outputs of the image correction units711 and 712. The analysis unit 714 analyzes a result of the distancemeasurement and outputs the analyzed result to a subsequent device.

Next, an operation of the imaging control system 501 will be describedwith reference to FIG. 24. FIG. 24 is a flowchart for describingdistance measurement processing according to the second embodiment ofthe present technology.

In step S111, the imaging control unit 581 controls the imagingoperation of the stereo camera system 521. Note that this processingwill be continuously executed thereafter. Further, this processing canalso be externally controlled. In step S112, the imaging unit 701(including the camera 541) and the imaging unit 702 (including thecamera 542) in FIG. 23 capture the observation point. In step S113, theimage correction unit 711 corrects lens aberration, camera imagedistortion, and the like of the image captured by the imaging unit 701.Similarly, the image correction unit 712 corrects lens aberration,camera image distortion, and the like of the image captured by theimaging unit 702. In other words, the distortion of the image iscorrected and the image is projected on a virtual plane to obtain aplanar image for distance calculation.

In step S114, the stereo image processing unit 713, as a monitoringprocessing unit that performs monitoring processing, calculates thedistance to the observation point. In other words, the camera 541 of theimaging unit 701 and the camera 542 of the imaging unit 702 are arrangedat positions separated by a distance L. Therefore, the image captured bythe camera 541 and the image captured by the camera 542 have a phasedifference, and the distance to the observation point can be calculatedon the basis of the phase difference. That is, an object correspondingto an object appearing in one image of the cameras 541 and 542 isdetected from the other image, and the distance is calculated from thedeviation between the positions of the objects in the two images. Acalculation result is output to the analysis unit 714.

In step S115, the analysis unit 714 analyzes the distance calculated bythe stereo image processing unit 713, and outputs an analysis result.For example, a white line or the like (displayed on the road surface551) at the same height as the road surface 551 is left as it is, and anobject located higher than the road surface 551 is recognized as anobstacle. Alternatively, processing of collectively displayinginformation according to the position with respect to the vehicle 511,issuing an alarm in a case where the measured distance is smaller than apredetermined criterion value, or the like is performed.

In step S116, the stereo image processing unit 713 determines whether ornot to terminate the processing. In a case where an instruction ontermination of the processing has not been given yet from a user, theprocessing returns to step S111 and the processing in step S111 andsubsequent steps is repeated. In a case where the instruction on thetermination of the processing has been given, the processing isterminated.

Though not illustrated, the above processing is also executed in thestereo camera system 521 including the cameras 541 and 542 arranged onthe right side of the vehicle 511 and the corresponding imaging controlunit 581.

As described above, both sides of the vehicle 511 are monitored anddriving thereof is assisted. The cameras 541 and 542 are arranged up anddown and such that the optical axes of the cameras 541 and 542 arearranged to be directed downward with respect to the direction parallelto the basis plane. Therefore, not only the distance of the front orrear of the side surface of the vehicle 511 but also the distance inparticular of a vicinity of a substantially central portion of the sidecan also be accurately measured.

Furthermore, in the above description, the measurement processing hasbeen mainly described as the monitoring processing. However, white linerecognition, curb recognition, detection of road surface condition,detection of vehicles including overtaking vehicles and oncomingvehicles, detection of pedestrians, and the like can also be processedin the monitoring processing.

(3) Configuration Example 2 of Imaging Control System (FIGS. 25 and 26)

Next, another imaging control system will be described with reference toFIGS. 25 and 26. FIG. 25 is a diagram illustrating a configuration ofthe imaging control system according to the second embodiment of thepresent technology. FIG. 26 is a block diagram illustrating aconfiguration of the imaging control system according to the secondembodiment of the present technology.

In the imaging control system 501 of FIG. 25, stereo camera systems 521Aand 521B are arranged on the door mirrors 512 and 513 on the left andright side surfaces of the vehicle 511. Further, in the imaging controlsystem 501, a stereo camera system 521C is arranged on the front side ofthe vehicle 511 and a stereo camera system 521D is arranged on the rearside of the vehicle 511.

The stereo camera system 521A performs measurement in a detection range522A on the left side of the vehicle 511 and the stereo camera system521B performs measurement in a detection range 522B on the right side ofthe vehicle 511. Similarly, the stereo camera system 521C performsmeasurement in a detection range 522C in front of the vehicle 511 (thatis, the direction in which the vehicle 511 travels forward). The stereocamera system 521D performs measurement in a detection range 522D behindthe vehicle 511 (that is, the direction in which the vehicle 511 travelsrearward).

FIG. 25 illustrates an example of a case where the viewing angle is 180degrees as the detection ranges 522A to 522D (note that, to actuallysecure the viewing angle of 180 degrees, a lens with a wider viewingangle than 180 degrees, for example, 190 degrees, is necessary).

Note that the detection range 522 in FIG. 25 indicates a range in anangular direction, and the size in a distance direction, that is, thesize of a semicircle diameter is actually larger.

As illustrated in FIG. 26, in the imaging control system 501 of FIG. 26,the stereo camera system 521 and the imaging control unit 581illustrated in FIG. 23 are provided corresponding to the four surfacesof the vehicle 511. In other words, the stereo camera system 521A and animaging control unit 581A, the stereo camera system 521B and an imagingcontrol unit 581B, the stereo camera system 521C and an imaging controlunit 581C, and the stereo camera system 521D and an imaging control unit581D are provided.

The stereo camera system 521A includes an imaging unit 701A and animaging unit 702A that capture the detection range 522A. The imagingcontrol unit 581A includes image correction units 711A and 712A thatcorrect outputs of the imaging units 701A and 702A and a stereo imageprocessing unit 713A that calculates the distance in the detection range522A from outputs of the image correction units 711A and 712A.

The stereo camera system 521B includes an imaging unit 701B and animaging unit 702B that capture the detection range 522B. The imagingcontrol unit 581B includes image correction units 711B and 712B thatcorrect outputs of the imaging units 701B and 702B and a stereo imageprocessing unit 713B that calculates the distance in the detection range522B from outputs of the image correction units 711B and 712B.

The stereo camera system 521C includes an imaging unit 701C and animaging unit 702C that capture the detection range 522C. The imagingcontrol unit 581C includes image correction units 711C and 712C thatcorrect outputs of the imaging units 701C and 702C and a stereo imageprocessing unit 713C that calculates the distance in the detection range522C from outputs of the image correction units 711C and 712C.

The stereo camera system 521D includes an imaging unit 701D and animaging unit 702D that capture the detection range 522D. The imagingcontrol unit 581D includes image correction units 711D and 712D thatcorrect outputs of the imaging units 701D and 702D and a stereo imageprocessing unit 713D that calculates the distance in the detection range522D from outputs of the image correction units 711D and 712D.

The analysis unit 714 is provided in common to the detection ranges 522Ato 522D, and analyzes the outputs of the stereo image processing units713A to 713D.

The operation of the imaging control system 501 in FIG. 26 is similar tothe operation illustrated in the flowchart in FIG. 24. Therefore, theoperation of the imaging control system 501 in FIG. 26 will be describedwith reference to FIG. 24.

In step S112, the imaging unit 701A (including the camera 541A) and theimaging unit 702A (including the camera 542A) in FIG. 26 capture theobservation point. In step S113, the image correction unit 711A correctslens aberration, camera image distortion, and the like of the imagecaptured by the imaging unit 701A. Similarly, the image correction unit712A corrects lens aberration, camera image distortion, and the like ofthe image captured by the imaging unit 702A. In other words, thedistortion of the image is corrected and the image is projected on avirtual plane to obtain a planar image for distance calculation.

In step S114, the stereo image processing unit 713A calculates thedistance to the observation point. In other words, the camera 541A ofthe imaging unit 701A and the camera 542A of the imaging unit 702A arearranged at positions separated by a distance L. Therefore, the imagecaptured by the camera 541A and the image captured by the camera 542Ahave a phase difference, and the distance to the observation point canbe calculated on the basis of the phase difference. That is, an objectcorresponding to an object appearing in one image of the cameras 541Aand 542A is detected from the other image, and the distance iscalculated from the deviation between the positions of the objects inthe two images. A calculation result is output to the analysis unit714A.

The above processing in steps S112 to S114 is similarly performed in thestereo camera systems 521B to 521D and the imaging control units 581B to581D.

In step S115, the analysis unit 714 analyzes the distance calculated bythe stereo image processing units 713A to 713D, and outputs an analysisresult. For example, in a case where the measured distance is smallerthan a predetermined criterion value, processing such as issuing awarning is performed.

In step S116, the stereo image processing units 713A to 713D determinewhether or not to terminate the processing. In a case where aninstruction on termination of the processing has not been given yet froma user, the processing returns to step S111 and the processing in stepS111 and subsequent steps is repeated. In a case where the instructionon the termination of the processing has been given, the processing isterminated.

As described above, not only both sides of the vehicle 511 but also thefront and rear of the vehicle 511 are monitored, and driving of thevehicle 511 is assisted. The cameras 541 and 542 are arranged up anddown and the optical axes are arranged to be directed downward withrespect to the direction parallel to the basis plane. Therefore, notonly the distances of substantially central portions in the detectionranges 522A to 522D of the vehicle 511 but also the distances ofportions in right and left directions from the central portions can beaccurately measured.

Furthermore, the stereo camera system 521C on the front side and thestereo camera system 521D on the rear side of the vehicle 511illustrated in FIG. 25 may have narrower measurement ranges in a planeparallel to the road surface 551 of the distance measurement than thestereo camera systems 521A and 521B on both side surfaces. Therefore,the distance measurement processing in the detection ranges 522C and522D in front of and behind the vehicle 511 is performed by anultrasonic wave, a radar, a laser sensor, an infrared sensor, or thelike, as another monitoring processing unit, or by a combined system ofthe aforementioned device and the stereo camera system 521.

(4) Configuration Example 3 of Imaging Control System (FIGS. 27 to 30)

Next, another imaging control system will be described with reference toFIG. 27. FIG. 27 is a block diagram illustrating a configuration of theimaging control system according to the second embodiment of the presenttechnology.

The imaging control system 501 in FIG. 27 includes the stereo camerasystems 521A to 521D, and the imaging control units 581A to 581D,similarly to the imaging control system 501 in FIG. 26. The imagingcontrol unit 581A includes the image correction units 711A and 712A andthe stereo image processing unit 713A. The imaging control unit 581Bincludes the image correction units 711B and 712B and the stereo imageprocessing unit 713B. The imaging control unit 581C includes the imagecorrection units 711C and 712C and the stereo image processing unit713C. The imaging control unit 581D includes the image correction units711D and 712D and the stereo image processing unit 713D. Furthermore,the imaging control units 581A to 581D include the analysis unit 714common to the imaging control units 581A to 581D. The aboveconfiguration is a similar configuration to that of the imaging controlsystem 501 in FIG. 26.

In addition, in FIG. 27, the imaging control unit 581A includes an imageconversion unit 811A, the imaging control unit 581B includes an imageconversion unit 811B, the imaging control unit 581C includes an imageconversion unit 811C, and the imaging control unit 581D includes animage conversion unit 811D, respectively. Furthermore, the imagingcontrol units 581A to 581D include an integration unit 812 common to theimaging control units 581A to 581D.

The image conversion unit 811A converts a viewpoint of the image outputby the imaging unit 701A using an image conversion method such asprojective transformation. With the conversion, an image that a userviews a periphery of the vehicle 511, such as an image for aroundmonitor system, can be obtained. Similarly, the image conversion unit811B converts a viewpoint of the image output by the imaging unit 701Busing an image conversion method such as projective transformation, andthe image conversion unit 811C converts a viewpoint of the image outputby the imaging unit 701C using an image conversion method such asprojective transformation. The image conversion unit 811D converts aviewpoint of the image output by the imaging unit 701D using an imageconversion method such as projective transformation.

Note that the image conversion units 811A to 811D as another monitoringprocessing units that perform monitoring processing perform theprojective transformation for the images output from the imaging units701A to 701D. However, the image conversion units 811A to 811D canperform the projective transformation for the images output from theimaging units 702A to 702D.

The integration unit 812 integrates the outputs of the image conversionunit 811A, the image conversion unit 811B, the image conversion unit811C, and the image conversion unit 811D.

Next, an operation of the imaging control system 501 in FIG. 27 will bedescribed with reference to FIG. 28. Note that the processing regardingthe imaging units 701 and 702, the image correction units 711 and 712,the stereo image processing unit 713 as the monitoring processing unitthat performs the monitoring processing, and the analysis unit 714, ofthe operation of the imaging control system 501 in FIG. 27, is similarto the operation of the imaging control system 501 in FIG. 26. In otherwords, the operation is similar to the operation illustrated in theflowchart in FIG. 24. Therefore, repetitive description is omitted.

Therefore, operations of configurations of the image conversion unit 811and the integration unit 812 in the imaging control system 501 in FIG.27 will be mainly described. FIG. 28 is a flowchart for describing theintegration processing according to the second embodiment of the presenttechnology.

In step S151, the imaging unit 701A (that is, the camera 541A) in FIG.27 captures the observation point. Similarly, the imaging unit 701B(that is, the camera 541B), the imaging unit 701C (that is, the camera541C), and the imaging unit 701D (that is, the camera 541D) also capturethe observation point.

The imaging unit 702A (that is, the camera 542A) to the imaging unit702D (that is, the camera 542D) similarly capture the observation point,but the captured images are not used for the integration processingdescribed now, so description is omitted.

In step S152, the image conversion unit 811A executes image conversionprocessing. In other words, the viewpoint of the image captured by theimaging unit 701A (that is, the camera 541A) is converted by an imageconversion method such as projective transformation. With theconversion, an image for around monitor system is generated. Similarimage conversion processing is executed by the image conversion units811B, 811C, and 811D.

In step S153, the integration unit 812 executes the integrationprocessing. In other words, images in the detection range 522A to thedetection range 522D around the vehicle 511 are obtained by the imageconversion units 811A to 811D. Thus, these images are integrated and theimage for around monitor system for viewing the periphery of the vehicle511 in bird's eye view is generated and output. This image is displayedon a monitor or the like at a subsequent stage.

In step S154, the image conversion units 811A to 811D determine whetheror not to terminate the processing. In a case where an instruction ontermination of the processing has not been given yet from a user, theprocessing returns to step S151 and the processing in step S151 andsubsequent steps is repeated. In a case where the instruction on thetermination of the processing has been given, the processing isterminated.

Here, viewpoint conversion processing will be described. FIGS. 29 and 30are diagrams for describing the viewpoint conversion processing. FIG. 30is a diagram illustrating a positional relationship between a picture bya real camera and a picture by a virtual camera illustrated in FIG. 29developed into a Y-Z plane as seen from the side and an X-Z plane asseen from above.

As illustrated in FIG. 29, an example in which a picture Pr imaged bythe actual camera installed at a point Cr (Xr, Yr, Zr) at an arbitraryposition in a three-dimensional space is converted into a picture Pv ofthe virtual camera installed at a point Cv (Xv, Yv, Zv) at an arbitraryposition will be described. Here, the two cameras shall be pinholecameras that capture pictures at one point. Furthermore, the pictures Prand Pv can be set to arbitrary positions according to the size of imagesas long as the pictures Pr and Pv are perpendicular to vectors Lr and Lvindicating directions of the cameras. It is desirable to set thepictures rearward in a case where the image is large and to set thepictures forward in a case where the image is small.

A procedure for converting the imaged picture Pr into the picture Pv ofthe virtual camera will be described. First, a point Iv is set at anarbitrary position on the picture Pv, and a point Iz at which a straightline connecting the point Iv and the point Cv intersects with the X-Zplane is obtained. Note that, in a case where the straight lineconnecting the point Iv and the point Cv does not intersect with the X-Zplane, the color of a pixel of the point Iv is set to a predeterminedcolor to indicate that the point Iv is outside the imaging range of thereal camera.

Next, a point Ir where a straight line connecting the point Iz and thepoint Cr intersects with a plane of the picture Pr is obtained, and thecolor of a pixel of the point Ir is set to the same color as the colorof the pixel of the point Iv. Note that, in a case where the straightline connecting the point Iz and the point Cr does not intersect withthe plane of the picture Pr, the color of the pixel of the point Ir isset to a predetermined color to indicate that the point Ir is outsidethe imaging range of the real camera. The above processing is repeateduntil colors of pixels of all points on the picture Pr are determined.

A point Zctr where a center line of the point Cr at an actual cameraposition illustrated in FIG. 30 intersects with the Z axis is expressedby the following equation (16).

Zctr=Yr·tan(θr)  (16)

Here, θr is a tilt angle of the real camera with respect to the X-Zplane. A straight line Qrxy passing through a cross section by the Y-Zplane, of the picture Pr of the actual camera is orthogonal to thecenter line of the real camera (a straight line with a slope 1/tan (θr)passing through the point Cr and the point Zctr) and passes through acoordinate point (Yps, Zps) at a lower end of the picture Pr. Therefore,the straight line Qrxy is expressed by the following equation (17).

Y=−tan(θr)·Z+tan(θr)·Zps+Yps  (17)

The point Iz at which the straight line passing through the point Iv onthe picture Pv of the virtual camera and the point Cv at the virtualcamera position intersects with the Z axis is obtained, and then Y-Zcoordinates of the point Ir at which the straight line passing throughthe point Iz and the point Cr at the actual camera position intersectswith the straight line Qrxy expressed by the equation (17) are obtained.As for the X-Z plane, X-Z coordinates of the point Ir are obtainedsimilarly to the Y-Z plane. Then, the color of the pixel of the point Ivon the picture Pv of the virtual camera is set to the same color as thecolor of the pixel of the point Iv on the picture Pr of the real camera,and the above-processing is performed for all the points on the picturePv of the virtual camera.

In this manner, according to the imaging control system 501 of FIG. 27,parking assistance such as backward parking, parallel parking, and thelike, provision of recognition information of bicycles, pedestrians, andthe like obliquely backward at the time of intersection stop, monitoringof following cars in the next lane at the time of lane change, andassistance for the user's driving by visual observation can be performedin addition to driving assistance such as warning and automatic controlof braking associated with distance measurement to a target object. Forexample, the analysis result of the analysis unit 714 can be supplied tothe integration unit 812, and the positions of an obstacle and the likebased on the distance measurement result can be displayed in a visuallyobservable manner on a visual observation screen.

Note that, in the imaging control system 501 in FIG. 27, the imagecaptured by the imaging unit 701 configuring the stereo camera system521 is processed in the image conversion unit 811. However, a specialcamera may be separately provided. In the case of using the image of theimaging unit 701 configuring the stereo camera system 521, the one imagecan be used for both monitoring by visual observation and monitoring bydistance measurement. As a result, the cost can be reduced. In the casewhere a visual monitoring system already exists, the monitoring bydistance measurement can be performed by simply adding one cameraconfiguring the stereo camera system 521.

(5) Configuration Example 4 of Imaging Control System (FIGS. 31 to 37)

Next, another imaging control system will be described with reference toFIG. 31. FIG. 31 is a block diagram illustrating a configuration of theimaging control system according to the second embodiment of the presenttechnology.

The imaging control system 501 in FIG. 31 is configured by the stereocamera system 521 and the imaging control unit 581 similarly to theimaging control system 501 in FIG. 23. The imaging control unit 581controls the imaging operation of the stereo camera system 521.

The stereo camera system 521 includes the imaging unit 701 including thecamera 541 and the imaging unit 702 including the camera 542. Asdescribed above, the cameras 541 and 542 are arranged on the sidesurface of the vehicle 511 up and down and such that the optical axesare directed downward with respect to the direction parallel to thebasis plane. The imaging unit 701 outputs an image captured by thecamera 541, and the imaging unit 702 outputs an image captured by thecamera 542.

The imaging control unit 581 includes image correction units 711 and712, a stereo image processing unit 713, and an analysis unit 714.Outputs of the imaging unit 701 and the imaging unit 702 of the stereocamera system 521 are respectively supplied to the image correction unit711 and the image correction unit 712, and aberration of a lens and thelike are corrected as preprocessing. The stereo image processing unit713 as the monitoring processing unit that performs the monitoringprocessing calculates the distance to the target object from the outputsof the imaging units 701 and 702. The analysis unit 714 analyzes aresult of the distance measurement and outputs the analyzed result to asubsequent device.

The imaging control unit 581 in FIG. 31 further includes an edge angledetection unit 851 and a motion stereo processing unit 852. The edgeangle detection unit 851 detects a portion where change in brightness orcolor is caused in the image, and an angle that is a direction of thechange from the image corrected by the image correction unit 711, andoutputs a detection result to the analysis unit 714.

The motion stereo processing unit 852 as another monitoring processingunit that performs monitoring processing performs distance measurementby motion stereo processing from the image corrected by the imagecorrection unit 711. In other words, when the position of a stationaryobject in the image changes in a camera view together with movement ofthe camera, the distance measurement can be performed on a similarprinciple as the stereo image processing in the stereo camera systemusing a plurality of cameras. The measurement information is output tothe analysis unit 714.

Next, an operation of the imaging control system 501 in FIG. 31 will bedescribed with reference to FIG. 32. FIG. 32 is a flowchart fordescribing distance measurement processing according to the secondembodiment of the present technology.

In step S211, the imaging control unit 581 controls the imagingoperation of the stereo camera system 521. Note that this processingwill be continuously executed thereafter. Further, this processing canalso be externally controlled. In step S212, the imaging unit 701(including the camera 541) and the imaging unit 702 (including thecamera 542) in FIG. 31 capture the observation point. In step S213, theimage correction unit 711 corrects lens aberration, camera imagedistortion, and the like of the image captured by the imaging unit 701.Similarly, the image correction unit 712 corrects lens aberration,camera image distortion, and the like of the image captured by theimaging unit 702. In other words, the distortion of the image iscorrected and the image is projected on a virtual plane to obtain aplanar image for distance calculation.

In step S214, the stereo image processing unit 713 calculates thedistance to the observation point. In other words, the camera 541 of theimaging unit 701 and the camera 542 of the imaging unit 702 are arrangedat positions separated by a distance L. Therefore, the image captured bythe camera 541 and the image captured by the camera 542 have a phasedifference, and the distance to the observation point can be calculatedon the basis of the phase difference. That is, an object correspondingto an object appearing in one image of the cameras 541 and 542 isdetected from the other image, and the distance is calculated from thedeviation between the positions of the objects in the two images. Acalculation result is output to the analysis unit 714.

In step S215, the edge angle detection unit 851 detects an edge anglefrom the corrected image output by the image correction unit 711. Inother words, the portion where change in brightness and color is causedin the image is detected, and the angle that is the direction of thechange is detected.

For the edge detection, a difference (differential) method ofcalculating the degree of change in brightness can be adopted. Forexample, Prewitt edge detectors and Sobel edge detectors are known, andthe edge can be detected by performing processing by each edge detectionoperator. Furthermore, a zero crossing method of detecting the positionwhere change in brightest is steepest can be adopted. Of course, othervarious methods can also be adopted.

In step S216, the motion stereo processing unit 852 calculates thedistance to the observation point by motion stereo. A calculation resultis supplied to the analysis unit 714. Here, the motion stereo will bedescribed.

First, an optical flow will be described with reference to FIGS. 33 and34. FIG. 33 is a diagram for describing an image of a current frame, andFIG. 34 is a diagram for describing an image of a past frame. Theoptical flow is a vector that indicates an amount of movement ofcorresponding points in preceding and subsequent images in chronologicalorder. For example, processing of obtaining an optical flow from animage A of the current frame (see FIG. 33) and an image B (see FIG. 34)in the past frame acquired in the past than the image A begins withsearching for from where in the image B a point existing in the image Ais moved. Note that a V axis is taken in an up direction of the imageand a U axis is taken in a right direction of the image. Furthermore,the center of the image is taken as the origin of U axis and V axis.

It is assumed that the point P is moved from the image B to the image Aas illustrated in FIG. 33. The position of the point P in the image B is(u−Δu, v−Δv), and the position of the point P in the image A is (u, v).(Δu, Δv) that is a difference between the position of the point P in theimage A and the position of the point P in the image B is the opticalflow at the point (u, v) of the image A. In other words, the point (u,v) of the image A is the end point of the optical flow and a point(u−Δu, v−Δv) on the image A corresponding to the point (u−Δu, v−Δv) ofthe image B can be said to be a starting point of the optical flow.

Next, a monocular motion stereo will be described with reference toFIGS. 35 to 37. FIG. 35 is a diagram illustrating a relationship betweena monocular camera and coordinate axes. FIG. 36 is a diagramillustrating a relationship between a camera and an imaging surface.FIG. 37 is a diagram for describing an optical flow from a center of animage.

In monocular motion stereo, the amount of movement of the camera(hereinafter referred to as a camera motion parameter) is estimated fromthe optical flow between the images A and B, and the distance to theobject existing in the image is estimated. Therefore, to implement themonocular motion stereo, relationship among the optical flow between theimages A and B, the camera motion parameter, and the distance to theobject is required. The camera motion parameter corresponds to theamount of movement of a capture unit.

Here, it is assumed that the object captured by the camera isstationary. In a general pinhole camera model as illustrated in FIG. 35,the model as illustrated in FIG. 36 is used as the camera and theimaging surface. The X and Y axes of camera coordinates and the U and Vaxes of the captured image are parallel to each other, and the center ofthe captured image is located at the position of (0, 0, f) in the cameracoordinates (see FIG. 36). Here, f represents a focal length of thecamera. PL represents a virtual imaging plane where the captured imageis supposed to be located in the camera coordinate system.

The camera motion parameter has six degrees of freedom as illustrated inFIG. 35. In other words, three degrees of freedom with respect to therotational movement amount (ωx, ωy, ωz) and three degrees of freedomwith respect to the translational movement amount (tx, ty, tz). Therotational movement amount is a change amount of an angle within theunit time, and the translational movement amount is a change amount of adistance within the unit time. It is known that the followingrelationships are established among the camera motion parameters (ωx,ωy, ωz) and (tx, ty, tz), a distance z to the object captured by thecamera, a certain point (u, v) in the image, and the optical flow (Δu,Δv) in the point.

Δu=−ωy·f−tx·f/z+tz/z·u+ωz−·v+ωx/f·uv−ωy/f·u ²  (18)

Δv=+ωx·f−ty·f/z+tz/z·v−ωz·u−ωy/f·uv+ωx/f·v ²  (19)

The camera motion parameters are estimated from the optical flow usingthe equations (18) and (19). Note that, in a case where the vehicle 511travels straight ahead, the camera motion parameters can be madesimplified Since the camera 541 is a monocular camera, the camera motionparameters in the case of straight traveling are as follows.

(ωx,ωy,ωz)=(0,0,0)  (20)

(tx,ty,tz)=(0,0,tz)  (21)

The equations (18) and (19) are as follows using the equations (20) and(21).

Δu=tz/z·u  (22)

Δv=tz/z·v  (23)

The following equation is obtained by squaring and adding respectivesides of the equations (22) and (23).

(Δu)²+(Δv)² =tz ² /z ²·(u ² +v ²)  (24)

Here, since the distance w from the center of the image is w²=u₂+v², theequation (24) becomes the following equation using the equations (22)and (23).

Δw=tz/z·w  (25)

The equation (25) means that the distance z can be estimated using theoptical flow Δw (see FIG. 37) in a direction radially extending from thecenter of the image and a vehicle speed tz (a translational movementamount in the Z axis direction). It is theoretically explained that thedistance z can be estimated by performing calculation as describedabove. FIG. 37 illustrates an image in which the starting point of theoptical flow in the image B is also displayed on the image A. FIG. 37can be regarded as an image of a vector set of optical flows. A pointwhere these optical flows Δw converge toward the starting point is avanishing point. In other words, the vanishing point can also be said tobe a point where straight lines extending from the optical flow Δwtoward the starting point intersect. In FIG. 37, a vanishing point Pocoincides with the center of the image.

Referring back to the description of FIG. 32, in step S217, the analysisunit 714 integrates the information supplied from the stereo imageprocessing unit 713, the edge angle detection unit 851, and the motionstereo processing unit 852 to calculate the distance. That is, thedistance is recalculated on the basis of the detection result by theedge angle detection unit 851, the distance measurement processingresult by the stereo image processing unit 713, and the distancemeasurement processing result by the motion stereo processing unit 852.

As described with reference to FIGS. 17 to 24, when the two cameras 541and 542 of the stereo camera system 521 are arranged in the verticaldirection (the direction perpendicular to the basis plane), the distancemeasurement in the lateral direction (direction parallel to the basisplane) in the image can be favorably performed. This is because the twocameras 541 and 542 are vertically arranged, so that the imagingposition in the image easily changes in the lateral direction, and θa−θbin the equation (13) easily becomes large.

For example, in a case where the cameras 541 and 542 are installed onthe side surface of the vehicle 511, the identification display on theroad surface such as a white line on the road surface 551, the endportion of the road surface, the curb, the groove, the guardrail, andthe like are often captured in a state close to a line in the lateraldirection in the image. Therefore, the distance measurement by thestereo camera system 521 in which the cameras 541 and 542 are arrangedin the vertical direction is advantageous. Conversely, distancemeasurement of vertical lines (lines in the vertical direction) in theimage is disadvantageous. This is because, in a case where the cameras541 and 542 are arranged in the vertical direction, detection ofpositional deviation of the vertical line caused by deviation of theimaging position in the vertical direction is difficult. For example, arod-like object such as a utility pole in the camera view often has avertical line (line in the vertical direction).

In a case where the vehicle 511 moves while the cameras 541 and 542 arearranged on the side surface of the vehicle 511 and capture an image,the object in the camera view flows in the lateral direction. In thisway, in a case where the object in the image causes positional deviationwith respect to time, motion stereo processing is easily applied. In themotion stereo, when the position of a stationary object in the imagechanges in the camera view together with movement of the camera, thedistance measurement can be performed on the same principle as thestereo image processing in the stereo camera system using a plurality ofcameras. In a case where the vertical line (the line in the verticaldirection) in the image moves laterally, the positional deviation iseasily detected and motion stereo is easily applied. Conversely, themotion stereo is not easily applied to the line in the lateraldirection.

Therefore, the analysis unit 714 preferentially adopts the distancemeasured by the stereo image processing unit 713, for the line in thelateral direction or a line close to the line in the lateral directionon the basis of the direction of the edge detected by the edge angledetection unit 851. For example, calculation of the distance to thetarget object substantially extending along a road (that is,substantially parallel to the road), such as the road surface, theidentification display on the road surface such as a white line, the endportion of the road surface, the curb, the groove, or the guardrail isexecuted by the stereo image processing unit 713. In contrast, themeasurement result of the motion stereo processing unit 852 ispreferentially adopted for the vertical line or the line close to thevertical line. For example, the motion stereo processing unit 852executes calculation of the distance to the target object perpendicularto a road, such as a support post of a traffic signal, a traffic sign,or the like, or a utility pole. Which measurement result is adopted maybe determined in advance according to a reliability map created on thebasis of experiments and the like.

As described above, the different distance measuring methods are adoptedaccording to the direction of the line of the object. Of course, twomethods may be integrated by weighting according to the direction of theedge or the like, instead of simply adopting one method.

In step S218, the stereo image processing unit 713, the edge angledetection unit 851, and the motion stereo processing unit 852 determinewhether or not to terminate the processing. In a case where aninstruction on termination of the processing has not been given yet froma user, the processing returns to step S211 and the processing in stepS211 and subsequent steps is repeated. In a case where the instructionon the termination of the processing has been given, the processing isterminated.

Note that, in the above description, the distance measurement method hasbeen made to correspond to the edge angle. However, for example, adetection unit that particularly detects an object substantiallyextending along a road (that is, substantially extending in parallel tothe road), such as the road surface on the road, the identificationdisplay on the road surface such as a white line, the end portion of theroad surface, the curb, the groove, or the guardrail, and a detectionunit that particularly detects a target object not necessarily extendingalong the road (that is, substantially not in parallel to the road) canbe separately provided. For example, the stereo image processing unit713 may be configured as the detection unit that particularly detectsthe target object substantially extending in parallel to the road, andthe motion stereo processing unit 852 may be configured as the detectionunit that particularly detects the target object not necessarily inparallel to the road. In this case, the edge angle detection unit 851can be omitted. Furthermore, a detection unit that detects an oncomingvehicle at a curve or the like can be provided.

As described above, according to the imaging control system 501 in FIG.31, the distance is measured by a method according to the characteristicof the target object, whereby accurate measurement becomes possible.

Note that, although the imaging control system 501 in FIG. 31 isarranged on the left and right side surfaces of the vehicle 511.However, the imaging control system 501 can also be arranged on thefront and rear sides of the vehicle, other than the side surfaces.Further, the front and rear, and the right and left imaging controlsystems 501 can perform the distance measurement operations incooperation.

(6) Modifications (FIGS. 38 to 40)

Next, modifications of the arrangement of the cameras 541 and 542 willbe described with reference to FIGS. 38 to 40. FIGS. 38 to 40 arediagrams illustrating arrangement of the cameras of the stereo camerasystem according to the second embodiment of the present technology.

In the examples of FIGS. 17 and 19, the cameras 541 and 542 are arrangedon the side surfaces of the vehicle body of the vehicle 511(specifically, on the door mirrors 512 and 513) as illustrated in FIG.38. In other words, as seen from the front of the vehicle 511 (in theleft diagram in FIG. 38), the camera 542 is arranged above and thecamera 541 is arranged below.

Then, the camera 542 is arranged at a position more distant from thevehicle 511 than the camera 541 (a position on an outer side of thevehicle 511), and the camera 541 is arranged at a position closer to thevehicle 511 than the camera 542 (a position on an inner side of thevehicle 511). The line 552 connecting the centers of the cameras 541 and542 is inclined to jump out from the vehicle body to the monitoringdirection (to jump out from the side of the vehicle 511). In otherwords, the line 552 is inclined to jump out from the mounting surface(side surface) of the vehicle body of the vehicle 511. The stereo camerasystem 521 is not parallel to the vehicle body and is not perpendicularto the road surface 551.

As seen from the front of the vehicle 511 (in the left diagram in FIG.38), both the cameras 541 and 542 are directed in an obliquely downwarddirection of the vehicle 511. In other words, the cameras 541 and 542are inclined in a plane including their optical axes 541 oa and 542 oasuch that the optical axes 541 oa and 542 oa are directed downward withrespect to the direction parallel to the basis plane (road surface 551)and intersect with the basis plane. That is, the cameras 541 and 542 areinclined such that the line 552 connecting the centers of the cameras541 and 542 forms an angle β, with respect to the basis plane. In otherwords, the cameras 541 and 542 are inclined such that the optical axes541 oa and 542 oa form an angle β with respect to the line 553perpendicular to the basis plane.

Furthermore, as seen from a top surface of the vehicle 511 (in the rightdiagram in FIG. 38), the optical axes 541 oa and 542 oa of the cameras541 and 542 are directed in a direction perpendicular to a travelingdirection (downward in FIG. 38) of the vehicle 511, that is, in adirection perpendicular to the side surface of the vehicle 511.

In contrast, in the example illustrated in A in FIG. 39, as seen fromthe front of the vehicle 511 (in the left diagram in A in FIG. 39), thecamera 542 is arranged above and the camera 541 is arranged below. Then,the cameras 541 and 542 are arranged at the same distance from thevehicle 511. In other words, the cameras 541 and 542 are arranged suchthat the line 552 connecting the centers of the cameras 541 and 542becomes parallel to the vehicle body (becomes perpendicular to the roadsurface 551 as the basis plane).

However, the cameras 541 and 542 are inclined in the plane includingtheir optical axes 541 oa and 542 oa such that the optical axes 541 oaand 542 oa are directed downward with respect to the direction parallelto the basis plane and intersect with the basis plane.

Furthermore, as seen from the top surface of the vehicle 511 (in theright diagram in A in FIG. 39), both the optical axes 541 oa and 542 oaof the cameras 541 and 542 are directed in the direction perpendicularto the traveling direction (downward in FIG. 39) of the vehicle 511,that is, in the direction perpendicular to the side surface of thevehicle 511.

The configuration as seen from the front of the vehicle 511 of theexample illustrated in B in FIG. 39 (in the left diagram in B in FIG.39) is similar to the case illustrated in the left diagram in FIG. 38.Repetitive description is omitted.

The configuration in the right diagram in B in FIG. 39 is different fromthe configuration in the right diagram in FIG. 38. In other words, inthis example, both the optical axes 541 oa and 542 oa of the cameras 541and 542 are directed, as seen from the top surface of the vehicle 511,slightly in the traveling direction, instead of the directionperpendicular to the traveling direction (downward in FIG. 39) of thevehicle 511. When the optical axes 541 oa and 542 oa are slightlydirected in the traveling direction like this, it is advantageous toperform a distance measuring operation in cooperation with the stereocamera system for measuring the distance in the range in the travelingdirection (for example, the stereo camera system 521C for measuring thedistance in the detection range 522C in FIG. 25).

The configuration as seen from the front of the vehicle 511 of theexample illustrated in C in FIG. 39 (in the left diagram in C in FIG.39) is similar to the case illustrated in the left diagram in FIG. 38.Repetitive description is omitted.

The configuration in the right diagram in C in FIG. 39 is different fromthe configuration in the right diagram in FIG. 38. In other words, asseen from the top surface of the vehicle 511 (in the right diagram in Cin FIG. 39), the optical axis 542 oa of the camera 542 is directed inthe direction perpendicular to the traveling direction (downward in FIG.39) of the vehicle 511, that is, in the direction perpendicular to theside surface of the vehicle 511. That is, as far as the camera 542 isconcerned, the configuration is similar to that of the case in FIG. 38.

In contrast, as for the camera 541, the optical axis 541 oa is slightlydirected in the traveling direction instead of in the directionperpendicular to the traveling direction (downward in FIG. 39) of thevehicle 511. That is, as far as the camera 541 is concerned, theconfiguration is similar to that of the case in B in FIG. 39. Therefore,the relatively narrow hatched range in the diagram is thedistance-measurable range as the stereo camera system. In a case wherethe distance-measurable range needs to be expanded, a camera with theangle of view of 180 degrees or more can be used.

In the example illustrated in A in FIG. 40, as seen from the front ofthe vehicle 511 (in the left diagram in A in FIG. 40), the camera 542 isarranged above and the camera 541 is arranged below. Then, the cameras541 and 542 are arranged at the same distance from the vehicle 511. Inother words, the cameras 541 and 542 are arranged such that the line 552connecting the centers of the cameras 541 and 542 becomes parallel tothe vehicle body (becomes perpendicular to the road surface 551 as thebasis plane).

Then, the camera 541 is directed in an obliquely downward direction ofthe vehicle 511 as seen from the front of the vehicle 511 (in the leftdiagram in FIG. 38). In other words, the camera 541 is inclined in theplane including the optical axis 541 oa such that the optical axis 541oa is directed downward with respect to the direction parallel to thebasis plane and intersects with the basis plane. The camera 541 isinclined such that the optical axis 541 oa is at an angle β with respectto the line 553 perpendicular to the basis plane. That is, as far as thecamera 541 is concerned, the configuration is similar to that of thecase in FIG. 38.

However, the camera 542 is arranged such that the optical axis 542 oa isdirected parallel to the basis plane. That is, only one (the camera 541arranged below) of the cameras 541 and 542 is arranged such that theoptical axis 541 oa is directed downward with respect to the directionparallel to the road surface 551 that is the basis plane, and intersectswith the road surface 551. Then, the other (the camera 542 arrangedabove) is arranged such that the optical axis 542 oa becomes parallel tothe basis plane. Even when the cameras 541 and 542 are attached in thisway, the hatched range in the vicinity of the vehicle 511 in the drawingis the distance-measurable range as the stereo camera system. The rangeis a relatively narrow range. In a case where the distance-measurablerange needs to be expanded, a camera with the angle of view of 180degrees or more can be used.

The configuration as seen from the front of the vehicle 511 of theexample illustrated in A in FIG. 40 (in the right diagram in A in FIG.40) is similar to the case illustrated in the right diagram in FIG. 38.In other words, the optical axes 541 oa and 542 oa of the cameras 541and 542 are directed in the direction perpendicular to the travelingdirection (downward in FIG. 40) of the vehicle 511, that is, in thedirection perpendicular to the side surface of the vehicle 511.

In the example illustrated in B in FIG. 40, as seen from the front ofthe vehicle 511 (in the left diagram in B in FIG. 40), the camera 542 isarranged above and the camera 541 is arranged below. Then, the camera542 is arranged at a position more distant from the vehicle 511 than thecamera 541, and the camera 541 is arranged at a position closer to thevehicle 511 than the camera 542. The line 552 connecting the centers ofthe cameras 541 and 542 is inclined to jump out from the vehicle body tothe monitoring direction (to jump out from the side of the vehicle 511).That is, the cameras 541 and 542 are inclined such that the line 552connecting the centers of the cameras 541 and 542 forms an angle β withrespect to the basis plane.

Then, the camera 541 is inclined in the plane including the optical axis541 oa such that the optical axis 541 oa is directed downward withrespect to the direction parallel to the basis plane and intersects withthe basis plane. That is, the camera 541 is inclined such that the line552 connecting the center of the camera 541 and the center of the camera542 forms an angle β with respect to the basis plane. In other words,the camera 541 is inclined such that the optical axis 541 oa forms anangle β with respect to the line 553 perpendicular to the basis plane.

However, the camera 542 is arranged such that the optical axis 542 oa isdirected parallel to the basis plane. That is, only one (the camera 541arranged below) of the cameras 541 and 542 is arranged such that theoptical axis 541 oa is directed downward with respect to the directionparallel to the road surface 551 that is the basis plane, and intersectswith the road surface 551. Then, the other (the camera 542 arrangedabove) is arranged such that the optical axis 542 oa becomes parallel tothe basis plane. Even when the cameras 541 and 542 are attached in thisway, the hatched range in the vicinity of the vehicle 511 in the drawingis the distance-measurable range as the stereo camera system. The rangeis a relatively narrow range. In a case where the distance-measurablerange needs to be expanded, a camera with the angle of view of 180degrees or more can be used.

The configuration as seen from the front of the vehicle 511 of theexample illustrated in B in FIG. 40 (in the right diagram in B in FIG.40) is similar to the case illustrated in the right diagram in FIG. 38.In other words, the optical axes 541 oa and 542 oa of the cameras 541and 542 are directed in the direction perpendicular to the travelingdirection (downward in FIG. 40) of the vehicle 511, that is, in thedirection perpendicular to the side surface of the vehicle 511.

In the above description, the angles of view of the cameras configuringthe stereo camera system are the same (for example, 180 degrees), butthe respective angles of view (focal lengths) may be different. If theangle of view is made wider, recognition in a wider range becomespossible, whereas if the angle of view is made narrow, recognition in afarther range in higher definition becomes possible. In the stereocamera system, the distance measurement within a range where the anglesof view overlap becomes possible.

Note that various modifications may exist in the present technologywithin the scope not deviating from the essence of the presenttechnology.

Application Example

The technology according to the present disclosure can be applied tovarious products. For example, the technology according to the presentdisclosure may be realized as a device mounted on any type of vehiclessuch as an automobile, an electric automobile, a hybrid electricautomobile, an electric motorcycle, or the like.

FIG. 41 is a block diagram illustrating a schematic configurationexample of a vehicle control system 2000 to which the technology of thepresent disclosure is applicable. The vehicle control system 2000includes a plurality of electronic control units connected via acommunication network 2010. In the example illustrated in FIG. 41, thevehicle control system 2000 includes a drive system control unit 2100, abody system control unit 2200, a battery control unit 2300, a vehicleexterior information detection device 2400, a vehicle interiorinformation detection device 2500, and an integration control unit 2600.The communication network 2010 that connects the plurality of controlunits may be, for example, an on-board communication network conformingto an arbitrary standard such as a controller area network (CAN), alocal interconnect network (LIN), a local area network (LAN), or FlexRay(registered trademark), or a network conforming to a locally definedcommunication standard.

Each control unit includes, for example, a microcomputer that performsarithmetic processing according to various programs, a storage unit thatstores programs executed by the microcomputer, parameters used forvarious calculations, and the like, and a drive circuit that drivesvarious devices to be controlled. Each control unit includes a networkI/F for communicating with another control unit via the communicationnetwork 2010 and a communication I/F for communicating with a device, asensor, or the like outside the vehicle by wired communication orwireless communication. FIG. 41 illustrates, as functionalconfigurations of the integration control unit 2600, a microcomputer2610, a general-purpose communication I/F 2620, a dedicatedcommunication I/F 2630, a positioning unit 2640, a beacon reception unit2650, an in-vehicle device I/F 2660, an audio image output unit 2670, anon-board network I/F 2680, and a storage unit 2690. Similarly, the othercontrol units include a microcomputer, a communication I/F, a storageunit, and the like.

The drive system control unit 2100 controls an operation of a deviceregarding a drive system of a vehicle according to various programs. Forexample, the drive system control unit 2100 functions as a controldevice of a drive force generation device for generating drive force ofthe vehicle, such as an internal combustion engine or a drive motor, adrive force transmission mechanism for transmitting drive force towheels, a steering mechanism that adjusts a steering angle of thevehicle, a braking device that generates braking force of the vehicleand the like. The drive system control unit 2100 may have a function asa control device of an antilock brake system (ABS), electronic stabilitycontrol (ESC), or the like.

The drive system control unit 2100 is connected with a vehicle statedetection unit 2110. The vehicle state detection unit 2110 includes, forexample, at least one of a gyro sensor for detecting angular velocity ofan axial rotational motion of a vehicle body, an acceleration sensor fordetecting acceleration of the vehicle, or a sensor for detecting anoperation amount of an accelerator pedal, an operation amount of a brakepedal, a steering angle of a steering wheel, an engine speed, rotationspeed of a wheel, or the like. The drive system control unit 2100performs arithmetic processing using a signal input from the vehiclestate detection unit 2110 and controls the internal combustion engine,the drive motor, an electric power steering device, a brake device, orthe like.

The body system control unit 2200 controls operations of various devicesequipped in the vehicle body according to various programs. For example,the body system control unit 2200 functions as a control device of akeyless entry system, a smart key system, an automatic window device,and various lamps such as head lamps, back lamps, brake lamps, turnsignals, and fog lamps. In this case, radio waves transmitted from amobile device substituted for a key or signals of various switches canbe input to the body system control unit 2200. The body system controlunit 2200 receives an input of the radio waves or the signals, andcontrols a door lock device, the automatic window device, the lamps, andthe like of the vehicle.

The battery control unit 2300 controls a secondary battery 2310 that isa power supply source of the drive motor according to various programs.For example, the battery control unit 2300 receives information such asa battery temperature, a battery output voltage, or a remaining capacityof the battery from a battery device including the secondary battery2310. The battery control unit 2300 performs arithmetic processing usingthese signals to control temperature adjustment of the secondary battery2310, a cooling device provided in the battery device, or the like.

The vehicle exterior information detection device 2400 detectsinformation of an outside of the vehicle having the vehicle controlsystem 2000 mounted. For example, at least one of an imaging unit 2410or a vehicle exterior information detection unit 2420 is connected tothe vehicle exterior information detection device 2400. The imaging unit2410 includes at least one of a time of flight (ToF) camera, a stereocamera, a monocular camera, an infrared camera, or another camera. Thevehicle exterior information detection unit 2420 includes, for example,an environmental sensor for detecting current weather or atmosphericphenomena or an ambient information detection sensor for detecting othervehicles, obstacles, pedestrians, and the like around the vehicleequipped with the vehicle control system 2000.

The environmental sensor may be, for example, at least one of a raindropsensor for detecting rainy weather, a fog sensor for detecting fog, asunshine sensor for detecting the degree of sunshine, or a snow sensorfor detecting snowfall. The ambient information detection sensor may beat least one of an ultrasonic sensor, a radar device, or a lightdetection and ranging, laser imaging detection and ranging (LIDAR)device. The imaging unit 2410 and the vehicle exterior informationdetection unit 2420 may be provided as independent sensors or devices,respectively, or may be provided as devices in which a plurality ofsensors or devices is integrated.

Here, FIG. 42 illustrates an example of installation positions of theimaging unit 2410 and the vehicle exterior information detection unit2420. Each of imaging units 2910, 2912, 2914, 2916, and 2918 is providedat least one of positions such as a front nose, side mirrors, a rearbumper, a back door, and an upper portion of a windshield in an interiorof a vehicle 2900, for example. The imaging unit 2910 provided at thefront nose and the imaging unit 2918 provided at the upper portion ofthe windshield in the interior of the vehicle mainly acquire frontimages of the vehicle 2900. The imaging units 2912 and 2914 provided atthe side mirrors mainly acquire side images of the vehicle 2900. Theimaging unit 2916 provided at the rear bumper or the back door mainlyacquires a rear image of the vehicle 2900. The imaging unit 2918provided at the upper portion of the windshield in the interior of thevehicle is mainly used for detecting a preceding vehicle, a pedestrian,an obstacle, a traffic signal, a traffic sign, a lane, or the like.

Note that FIG. 42 illustrates an example of capture ranges of theimaging units 2910, 2912, 2914, and 2916. An imaging range a indicatesan imaging range of the imaging unit 2910 provided at the front nose,imaging ranges b and c respectively indicate imaging ranges of theimaging units 2912 and 2914 provided at the side mirrors, and an imagingrange d indicates an imaging range of the imaging unit 2916 provided atthe rear bumper or the back door. For example, a bird's-eye view imageof the vehicle 2900 as viewed from above can be obtained bysuperimposing image data imaged in the imaging units 2910, 2912, 2914,and 2916.

Vehicle exterior information detection units 2920, 2922, 2924, 2926,2928, and 2930 provided at the front, rear, side, corner, and upperportion of the windshield in the interior of the vehicle 2900 may beultrasonic sensors or radar devices, for example. Vehicle exteriorinformation detection units 2920, 2926, and 2930 provided at the frontnose, the rear bumper, the back door, and the upper portion of thewindshield in the interior of the vehicle 2900 may be LIDAR devices, forexample. These vehicle exterior information detection units 2920 to 2930are mainly used for detecting a preceding vehicle, a pedestrian, anobstacle, and the like.

Referring back to FIG. 41, the description will be continued. Thevehicle exterior information detection device 2400 causes the imagingunit 2410 to image an image of the outside the vehicle, and receivesimaged image data. Furthermore, the vehicle exterior informationdetection device 2400 receives detection information from the connectedvehicle exterior information detection unit 2420. In a case where thevehicle exterior information detection unit 2420 is an ultrasonicsensor, a radar device, or an LIDAR device, the vehicle exteriorinformation detection device 2400 transmits ultrasonic waves,electromagnetic waves, or the like and receives information of receivedreflected waves. The vehicle exterior information detection device 2400may perform object detection processing or distance detection processingfor persons, vehicles, obstacles, signs, letters, or the like on a roadsurface on the basis of the received information. The vehicle exteriorinformation detection device 2400 may perform environment recognitionprocessing of recognizing rainfall, fog, a road surface condition, orthe like on the basis of the received information. The vehicle exteriorinformation detection device 2400 may calculate the distance to theobject outside the vehicle on the basis of the received information.

Furthermore, the vehicle exterior information detection device 2400 mayperform image recognition processing or distance detection processing ofrecognizing persons, vehicles, obstacles, signs, letters, or the like ona road surface on the basis of the received image data. The vehicleexterior information detection device 2400 may perform processing suchas distortion correction or alignment for the received image data andcombine the image data imaged by different imaging units 2410 togenerate a bird's-eye view image or a panoramic image. The vehicleexterior information detection device 2400 may perform viewpointconversion processing using the image data imaged by the differentimaging units 2410.

The vehicle interior information detection device 2500 detectsinformation of an inside of the vehicle. The vehicle interiorinformation detection device 2500 is detected with a driver statedetection unit 2510 that detects a state of a driver, for example. Thedriver state detection unit 2510 may include a camera for imaging thedriver, a biometric sensor for detecting biological information of thedriver, a microphone for collecting sounds in the interior of thevehicle, and the like. The biometric sensor is provided, for example, ona seating surface, a steering wheel, or the like, and detects thebiological information of an occupant sitting on a seat or the driverholding the steering wheel. The vehicle interior information detectiondevice 2500 may calculate the degree of fatigue or the degree ofconcentration of the driver or may determine whether or not the driverfalls asleep at the wheel on the basis of detection information inputfrom the driver state detection unit 2510. The vehicle interiorinformation detection device 2500 may perform processing such as noisecanceling processing for collected sound signals.

The integration control unit 2600 controls the overall operation in thevehicle control system 2000 according to various programs. Theintegration control unit 2600 is connected with an input unit 2800. Theinput unit 2800 is realized by a device that can be operated and inputby an occupant, such as a touch panel, a button, a microphone, a switch,or a lever, for example. The input unit 2800 may be, for example, aremote control device using an infrared ray or another radio waves, ormay be an externally connected device such as a mobile phone or apersonal digital assistant (PDA) corresponding to the operation of thevehicle control system 2000. The input unit 2800 may be, for example, acamera, and in this case, the occupant can input information by gesture.Moreover, the input unit 2800 may include, for example, an input controlcircuit that generates an input signal on the basis of the informationinput by the occupant or the like using the above input unit 2800 andoutputs the input signal to the integration control unit 2600, and thelike. The occupant or the like inputs various data to and instructs thevehicle control system 2000 on a processing operation by operating theinput unit 2800.

The storage unit 2690 may include a random access memory (RAM) forstoring various programs executed by the microcomputer, and a read onlymemory (ROM) for storing various parameters, a calculation result, asensor value, or the like. Furthermore, the storage unit 2690 may berealized by a magnetic storage device such as a hard disk drive (HDD), asemiconductor storage device, an optical storage device, amagneto-optical storage device, or the like.

The general-purpose communication I/F 2620 is a general-purposecommunication I/F that mediates communication with various devicesexisting in an external environment 2750. The general-purposecommunication I/F 2620 may include, for example, a cellularcommunication protocol such a global system of mobile communications(GSM) (registered trademark), WiMAX, long term evolution (LTE), orLTE-advanced (LTE-A), or another wireless communication protocol such asa wireless LAN (also called Wi-Fi (registered trademark)). Thegeneral-purpose communication I/F 2620 may be connected to a device (forexample, an application server or a control server) existing on anexternal network (for example, the Internet, a cloud network, or acompany specific network) via a base station or an access point, forexample. Furthermore, the general-purpose communication I/F 2620 may beconnected with a terminal (for example, a terminal of a pedestrian or ashop, or a machine type communication (MTC) terminal) existing in thevicinity of the vehicle, using a peer to peer (P2P) technology, forexample.

The dedicated communication I/F 2630 is a communication I/F supporting acommunication protocol formulated for use in the vehicle. The dedicatedcommunication I/F 2630 may include, for example, a standard protocolsuch as a wireless access in vehicle environment (WAVE) that is acombination of a lower layer IEEE 802.11p and an upper layer IEEE 1609,or dedicated short range communications (DSRC). The dedicatedcommunication I/F 2630 typically performs V2X communication that is aconcept including one or more of vehicle to vehicle communication,vehicle to infrastructure communication, and vehicle to pedestriancommunication.

The positioning unit 2640 receives a global navigation satellite system(GNSS) signal from a GNSS satellite (for example, a global positioningsystem (GPS) signal from a GPS satellite) to execute positioning, andgenerates position information including the latitude, longitude, andaltitude of the vehicle, for example. Note that the positioning unit2640 may specify a current position by exchanging signals with awireless access point or may acquire the position information from aterminal such as a mobile phone, a PHS, or a smartphone having apositioning function.

The beacon reception unit 2650 receives, for example, a radio wave or anelectromagnetic wave transmitted from a wireless station or the likeinstalled on a road, and acquires information such as a currentposition, congestion, road closure, or required time. Note that thefunction of the beacon reception unit 2650 may be included in theabove-described dedicated communication I/F 2630.

The in-vehicle device I/F 2660 is a communication interface thatmediates connection between the microcomputer 2610 and various devicesexisting in the vehicle. The in-vehicle device I/F 2660 may establishwireless connection using a wireless communication protocol such as awireless LAN, Bluetooth (registered trademark), near field communication(NFC), or wireless USB (WUSB). Furthermore, the in-vehicle device I/F2660 may establish wired connection via a connection terminal (notillustrated) (and a cable if necessary). The in-vehicle device I/F 2660exchanges control signals or data signals with, for example, a mobiledevice or a wearable device possessed by the occupant, or an informationdevice carried in or attached to the vehicle.

The on-board network I/F 2680 is an interface that mediatescommunication between the microcomputer 2610 and the communicationnetwork 2010. The on-board network I/F 2680 transmits and receivessignals and the like according to a predetermined protocol supported bythe communication network 2010.

The microcomputer 2610 of the integration control unit 2600 controls thevehicle control system 2000 according to various programs on the basisof information acquired via at least one of the general-purposecommunication I/F 2620, the dedicated communication I/F 2630, thepositioning unit 2640, the beacon reception unit 2650, the in-vehicledevice I/F 2660, or the on-board network I/F 2680. For example, themicrocomputer 2610 may calculate a control target value of the driveforce generation device, the steering mechanism, or the brake device onthe basis of the acquired information of the interior and the exteriorof the vehicle, and output a control command to the drive system controlunit 2100. For example, the microcomputer 2610 may perform cooperativecontrol for the purpose of avoiding a collision of the vehicle oralleviating impact, tracking based on the distance between vehicles,vehicle speed maintained traveling, automatic driving, or the like.

The microcomputer 2610 may create local map information includingperipheral information of the current position of the vehicle on thebasis of information acquired via at least one of the general-purposecommunication I/F 2620, the dedicated communication I/F 2630, thepositioning unit 2640, the beacon reception unit 2650, the in-vehicledevice I/F 2660, or the on-board network I/F 2680. Furthermore, themicrocomputer 2610 may predict danger such as a collision of thevehicle, approach of a pedestrian or the like, or entry of thepedestrian or the like into a closed road on the basis of the acquiredinformation, and generate a warning signal. The warning signal may be,for example, a signal for generating a warning sound or for lighting awarning lamp.

The audio image output unit 2670 transmits an output signal of at leastone of a sound or an image to an output device that can visually andaurally notify the occupant of the vehicle or outside the vehicle ofinformation. In the example in FIG. 41, as the output device, an audiospeaker 2710, a display unit 2720, and an instrument panel 2730 areexemplarily illustrated. The display unit 2720 may include, for example,at least one of an on-board display or a head-up display. The displayunit 2720 may have an augmented reality (AR) display function. Theoutput device may be another device such as a headphone, a projector, ora lamp, other than these devices. In the case where the output device isa display device, the display device visually displays a result obtainedin various types of processing performed by the microcomputer 2610 orinformation received from another control unit, in various formats suchas a text, an image, a table, and a graph. Furthermore, in the casewhere the output device is an audio output device, the audio outputdevice converts an audio signal including reproduced audio data,acoustic data, and the like into an analog signal, and aurally outputsthe analog signal.

Note that, in the example illustrated in FIG. 41, at least two controlunits connected via the communication network 2010 may be integrated asone control unit. Alternatively, an individual control unit may beconfigured by a plurality of control units. Moreover, the vehiclecontrol system 2000 may include another control unit (not illustrated).Furthermore, in the above description, some or all of the functionscarried out by any one of the control units may be performed by anothercontrol unit. That is, predetermined arithmetic processing may beperformed by any of the control units as long as information istransmitted and received via the communication network 2010. Similarly,a sensor or a device connected to any of the control units may beconnected to another control unit, and a plurality of control units maytransmit and receive detection information to each other via thecommunication network 2010.

In the above-described vehicle control system 2000, the imaging controlunit 81 and the imaging control unit 581 according to the presentembodiment described with reference to FIGS. 4, 23, 26, 27, and 31 canbe applied to the integration control unit 2600 of the applicationexample illustrated in FIG. 41.

Further, at least part of the configuration elements of the imagingcontrol unit 81 and the imaging control unit 581 described withreference to FIGS. 4, 23, 26, 27, and 31 may be realized in a module(for example, an integrated circuit module configured by one die) forthe integration control unit 2600 illustrated in FIG. 41. Alternatively,the imaging control unit 81 and the imaging control unit 581 describedwith reference to FIGS. 4, 23, 26, 27, and 31 may be realized by aplurality of the control units of the vehicle control system 2000illustrated in FIG. 41.

Note that a computer program for realizing the functions of the imagingcontrol unit 81 and the imaging control unit 581 described withreference to FIGS. 4, 23, 26, 27, and 31 can be mounted in any of thecontrol units or the like. Furthermore, a computer-readable recordingmedium in which such a computer program is stored can be provided. Therecording medium is, for example, a magnetic disk, an optical disk, amagneto-optical disk, a flash memory, or the like. Furthermore, theabove computer program may be delivered via, for example, a networkwithout using a recording medium.

Furthermore, embodiments of the present technology are not limited tothe above-described embodiments, and various modifications can be madewithout departing from the gist of the present technology.

<Others>

The present technology can also have the following configurations.

(1)

An imaging control device including:

a detection unit configured to detect a distance of an observation pointin a detection range; and

a correction unit configured to correct the detected distance of theobservation point on the basis of overlap of the observation points in aplurality of the detection ranges corresponding to a plurality of thedetection units.

(2)

The imaging control device according to (1), in which

the correction unit detects overlap of error ranges of the detecteddistances of the observation points as the overlap of the observationpoints.

(3)

The imaging control device according to (1) or (2), in which

the distance is detected on the basis of an image captured by at least aset of cameras configuring a stereo camera system.

(4)

The imaging control device according to (1), (2), or (3), in which

the plurality of detection units is a plurality of the stereo camerasystems directed in different directions from one another.

(5)

The imaging control device according to any one of (1) to (4), in which

the correction unit performs the correction on the basis of the overlapof the observation points in the two detection ranges out of fourdirections around a vehicle.

(6)

The imaging control device according to any one of (1) to (5), in which

the correction unit corrects the detected distance of the observationpoint on the basis of overlap near the vehicle or overlap close to theobservation point in a case where a plurality of the overlaps of errorranges is detected.

(7)

The imaging control device according to any one of (1) to (6), in which

at least a set of the cameras is arranged in a vertical direction and tohave at least one optical axis directed obliquely downward.

(8)

The imaging control device according to any one of (1) to (7), furtherincluding:

the cameras configuring the stereo camera system.

(9)

The imaging control device according to any one of (1) to (8), in which

the observation point is a point obtained by measuring a target objectaround a vehicle.

(10)

The imaging control device according to any one of (1) to (9), furtherincluding:

a recognition processing unit configured to recognize the target objecton the basis of an image imaged by at least one camera mounted on avehicle.

(11)

The capture control device according to any one of (1) to (10), furtherincluding:

another detection unit including at least one of an ultrasonic sensor,an infrared sensor, a millimeter wave sensor, or a radar, in which

the correction unit performs the correction using a detection result ofthe another detection unit as well.

(12)

An imaging control method including:

a detecting step of detecting a distance of an observation point in adetection range; and

a correcting step of correcting the detected distance of the observationpoint on the basis of overlap of the observation points in a pluralityof the detection ranges.

(13)

A vehicle including:

a camera configuring a stereo camera system that captures a detectionrange for detecting a distance to an observation point;

a detection unit configured to detect the distance of the observationpoint in the detection range; and

a correction unit configured to correct the detected distance of theobservation point on the basis of overlap of the observation points in aplurality of the detection ranges corresponding to a plurality of thedetection units.

REFERENCE SIGNS LIST

-   1 Imaging control system-   11 Vehicle-   21A to 21D Stereo camera system-   22A to 22D Detection range-   91A to 91D Stereo distance measurement unit-   92A to 92D Distance accuracy improvement unit-   93 Integration unit-   101A to 101D and 102A to 102D Imaging unit

1. An imaging control device comprising: a detection unit configured todetect a distance of an observation point in a detection range; and acorrection unit configured to correct the detected distance of theobservation point on the basis of overlap of the observation points in aplurality of the detection ranges corresponding to a plurality of thedetection units.
 2. The imaging control device according to claim 1,wherein the correction unit detects overlap of error ranges of thedetected distances of the observation points as the overlap of theobservation points.
 3. The imaging control device according to claim 1,wherein the distance is detected on the basis of an image captured by atleast a set of cameras configuring a stereo camera system.
 4. Theimaging control device according to claim 3, wherein the plurality ofdetection units is a plurality of the stereo camera systems directed indifferent directions from one another.
 5. The imaging control deviceaccording to claim 3, wherein the correction unit performs thecorrection on the basis of the overlap of the observation points in thetwo detection ranges out of four directions around a vehicle.
 6. Theimaging control device according to claim 2, wherein the correction unitcorrects the detected distance of the observation point on the basis ofoverlap near a vehicle or overlap close to the observation point in acase where a plurality of the overlaps of error ranges is detected. 7.The imaging control device according to claim 4, wherein at least a setof the cameras is arranged in a vertical direction and to have at leastone optical axis directed obliquely downward.
 8. The imaging controldevice according to claim 4, further comprising: the cameras configuringthe stereo camera system.
 9. The imaging control device according toclaim 1, wherein the observation point is a point obtained by measuringa target object around a vehicle.
 10. The imaging control deviceaccording to claim 1, further comprising: a recognition processing unitconfigured to recognize the target object on the basis of an imageimaged by at least one camera mounted on a vehicle.
 11. The capturecontrol device according to claim 1, further comprising: anotherdetection unit including at least one of an ultrasonic sensor, aninfrared sensor, a millimeter wave sensor, or a radar, wherein thecorrection unit performs the correction using a detection result of theanother detection unit as well.
 12. An imaging control methodcomprising: a detecting step of detecting a distance of an observationpoint in a detection range; and a correcting step of correcting thedetected distance of the observation point on the basis of overlap ofthe observation points in a plurality of the detection ranges.
 13. Avehicle comprising: a camera configuring a stereo camera system thatcaptures a detection range for detecting a distance to an observationpoint; a detection unit configured to detect the distance of theobservation point in the detection range; and a correction unitconfigured to correct the detected distance of the observation point onthe basis of overlap of the observation points in a plurality of thedetection ranges corresponding to a plurality of the detection units.